Reinforcement learning

Acme, TorchRL & Ray seem nice. Hugging Face Deep Reinforcement Learning Class is great intro.

Reinforcement Learning with Neural Radiance Fields is fascinating.

Links

• Where to start learning Reinforcement Learning in 2018?
• Reinforcement Learning, An Introduction Book - Significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. (Web) (Code) (Julia Code) (Video Summary)
• Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, TensorFlow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
• Learning to Learn for Robotic Control - Prof. Pieter Abbeel
• MIT AGI: OpenAI Meta-Learning and Self-Play (Ilya Sutskever)
• Dissecting Reinforcement Learning: Part 1
• Learning Dexterity (2018)
• Dopamine - Research framework for fast prototyping of reinforcement learning algorithms.
• Spinning Up in Deep RL - Educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). (Docs) (HN) (Code)
• Advanced Deep Learning & Reinforcement Learning Course (2018)
• OpenAI Gym - Toolkit for developing and comparing reinforcement learning algorithms.
• Hands-On Reinforcement Learning With Python book
• David Silver Reinforcement learning - Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
• Paper Collection of Multi-Agent Reinforcement Learning (MARL)
• MARL (Multi-Agent Reinforcement Learning Experiments)
• RLlib - Open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications.
• Stable Baselines - Set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines.
• pytorch-a3c - PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
• The Power of Self-Learning Systems (2019)
• Awesome Self-Supervised Learning
• PlaNet - Deep Planning Network: Control from pixels by latent planning with learned dynamics.
• Learning to Paint - Painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.
• Self-Supervised Learning (HN)
• RL Baselines Zoo - Collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
• bsuite - Collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent.
• OpenSpiel - Collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
• Stochastic Lower Bound Optimization - Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.
• KataGo - Research and experimentation with self-play training in Go.
• Catalyst - Reproducible and fast DL & RL.
• The Mathematics of AlphaGo (2019)
• Value Prediction Network (2017)
• Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model (2019) (Reddit) (Article)
• BCQ - PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration".
• Reinforcement Learning: Theory and Algorithms (HN)
• TorchBeast - PyTorch Platform for Distributed RL.
• The Promise of Hierarchical Reinforcement Learning (2019)
• rlpyt - Reinforcement Learning in PyTorch.
• Accelerated Methods for Deep Reinforcement Learning
• Programmatically interpretable reinforcement learning (2020)
• Curriculum for Reinforcement Learning (2020)
• RLax - Library built on top of JAX that exposes useful building blocks for implementing reinforcement learning agents.
• Curated list of awesome imitation learning resources and publications
• Structural implementation of RL key algorithms
• DeepRLHacks - Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp.
• Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley
• PyTorch implementation of soft actor critic
• Tutorial on Deep Reinforcement Learning in PyTorch
• prob_mbrl - Library of probabilistic model based RL algorithms in pytorch.
• PhoenixGo - Go AI program which implements the AlphaGo Zero paper.
• TensorTrade - Trade Efficiently with Reinforcement Learning.
• En-Lightning Reinforcement Learning (2020) - Building a DQN with PyTorch Lightning.
• Transformer Reinforcement Learning - Train transformer language models with reinforcement learning.
• David Silver - Deep Reinforcement Learning from AlphaGo to AlphaStar (2020)
• AlphaZero.jl - Generic, simple and fast implementation of Deepmind's AlphaZero algorithm. (HN)
• Multi-Agent Particle Environment
• CURL: Contrastive Unsupervised Representations for Reinforcement Learning (2020) (Code)
• Maria-Florina Balcan's publications
• An Optimistic Perspective on Offline Reinforcement Learning (2020)
• Offline Reinforcement Learning: How Conservative Algorithms Can Enable New Applications (2020)
• TensorSwarm - Framework for reinforcement learning of robot swarms.
• Learning with Random Learning Rates in PyTorch
• Continual Learning Literature
• Using Reinforcement Learning in the Algorithmic Trading Problem (2020) (HN)
• Unsupervised Meta-Learning: Learning to Learn without Supervision (2020)
• metric-learn - Metric Learning in Python.
• Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels (Code)
• Reinforcement Learning Zoo - Collection of the most practical reinforcement learning algorithms, frameworks and applications.
• The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies (2020) (Paper) (Twitter)
• mentalRL - A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.
• Reinforcement Learning With TicTacToe
• Coach - Python reinforcement learning framework containing implementation of many state-of-the-art algorithms.
• Reinforcement Learning with Convex Constraints (2019) (Code)
• Acme: A new framework for distributed reinforcement learning | DeepMind (2020) (Code) (Intro)
• Slime Volleyball Gym Environment - Simple OpenAI Gym environment for single and multi-agent reinforcement learning.
• References on Optimal Control, Reinforcement Learning and Motion Planning
• NetHack Learning Environment (NLE) - Reinforcement Learning environment based on NetHack 3.6.
• RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real (2020)
• MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library (2020)
• Minimalistic Gridworld Environment (MiniGrid)
• Meta-Learning Curiosity Algorithms
• Reinforcement Learning in Swift
• dm_env - DeepMind RL Environment API.
• SURREAL - Fully integrated framework that runs state-of-the-art distributed reinforcement learning (RL) algorithms.
• Suggestions of good RL courses (2020)
• Reinforcement Learning Under Moral Uncertainty (2020) (Reddit) (Code)
• Go-Explore: a New Approach for Hard-Exploration Problems (2019) (Code)
• Neural Architecture Search (2020)
• Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
• Tonic - Deep reinforcement learning library.
• Model Based Reinforcement Learning Benchmarking Library (MBBL)
• TF-Agents - Reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
• Reinforcement Learning Specialization by University of Alberta
• Optax - Gradient processing and optimization library for JAX.
• Chex - Library of utilities for helping to write reliable JAX code.
• Reinforcement Learning for Combinatorial Optimization: A Survey (2020)
• GenRL - PyTorch reinforcement learning library centered around reproducible and generalizable algorithm implementations. (HN) (Docs) (Tutorials) (Reddit)
• Stable Baselines3 - PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
• Minigo - Minimalist Go engine modeled after AlphaGo Zero, built on MuGo.
• Reinforcement learning, non-Markov environments, and memory (2020)
• Mathy - Platform for using computer algebra systems to solve math problems step-by-step with reinforcement learning. (Code)
• Multi-Agent Resource Optimization (MARO) - Instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization.
• Homer: Provable Exploration in Reinforcement Learning (2020)
• RLCard - Toolkit for Reinforcement Learning in Card Games.
• Deep Reinforcement Learning Course (2020) (Code)
• GridRoyale - Life simulation for exploring social dynamics. (HN)
• TorchRL - PyTorch Implementation of Reinforcement Learning Algorithms.
• Reinforcement learning is supervised learning on optimized data (2020) (HN)
• Deep Reinforcement Learning Algorithms
• Introduction to Reinforcement Learning (2020) (Code)
• AI safety gridworlds - Suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
• RL and Deep-RL implementations
• You don't need reinforcement learning when you have basic physics (2020) (HN)
• TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers. (Docs)
• FitML - Collection of python Machine Learning articles and examples.
• Notes and scripts for SC2LE released by DeepMind and Blizzard
• PFRL - PyTorch-based deep reinforcement learning library.
• Deep Reinforcement Learning Papers
• ChainerRL - Deep reinforcement learning library built on top of Chainer.
• RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
• Best Reinforcement Learning Tutorials, Examples, Projects, and Courses (2020)
• EvoStrat - Library that makes Evolutionary Strategies (ES) simple to use.
• Alpha Zero Boosted - "build to learn" implementation of the Alpha Zero algorithm written in Python that uses LightGBM (Gradient Boosted Decision Trees) in place of a Deep Neural Network for value/policy functions.
• XingTian - Componentized library for the development and verification of reinforcement learning algorithms.
• Theoretical Foundations of Reinforcement Learning (2020)
• mazelab - Customizable framework to create maze and gridworld environments.
• Addressing Function Approximation Error in Actor-Critic Methods - PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3).
• Discovering Reinforcement Learning Algorithms (2020)
• Data-Efficient Reinforcement Learning with Self-Predictive Representations
• DeepMind Lab2D - Flexible and fast engine for rapidly creating 2D environments. Built for RL, and well suited for the needs of multi-agent research. (Paper) (HN)
• Understanding RL Vision (2020)
• PettingZoo - Python library for conducting research in multi-agent reinforcement learning. It's akin to a multi-agent version of OpenAI's Gym library.
• DeepMind Hard Eight Tasks - Set of 8 diverse machine-learning tasks that require exploration in partially observable environments to solve.
• TetrisRL - Tetris environment to train machine learning agents.
• Deep Reinforcement Learning: Pong from Pixels (2016)
• dm_env_rpc - Networking protocol for agent-environment communication.
• PHYRE - Benchmark for physical reasoning. (Web)
• SuperSuit - Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments.
• ViZDoom - Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. (Web)
• Reinforcement Learning at Microsoft
• banditml - Lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
• SUMO-RL - Provides a simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control.
• PyGeneses - PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments. (Docs) (Article)
• Lessons Learned Reproducing a Deep Reinforcement Learning Paper (2018)
• CompilerGym - Reinforcement learning toolkit for compiler optimizations. (Docs) (HN)
• Introduction to Reinforcement Learning with David Silver
• MuZero General - Commented and documented implementation of MuZero based on the Google DeepMind paper (Nov 2019) and the associated pseudocode.
• Deep Reinforcement Learning Hands-On (2020) (Code)
• ReBeL - Algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
• NEAT Gym - Learn OpenAI Gym environments using NEAT.
• RLStructures - Library to facilitate the implementation of new reinforcement learning algorithms.
• FinRL - Deep Reinforcement Learning Library for Quantitative Finance. (HN)
• ReAgent - Platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.). (Docs)
• Deep Reinforcement Learning Algorithms
• CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
• minimalRL PyTorch - Implementations of basic RL algorithms with minimal lines of code.
• Awesome RL Competitions
• PyGame Learning Environment - Reinforcement Learning Environment in Python.
• OpenAI PLE environment - Learning environment, mimicking the Arcade Learning Environment interface.
• h-baselines - High-performing hierarchical reinforcement learning models and algorithms.
• AI Habitat - Simulation platform for research in Embodied AI. (Habitat Challenge 2020 Code)
• Fundamentals of Multiagent Systems (2010)
• CleanRL - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
• Rainbow is all you need - Step-by-step tutorial from DQN to Rainbow.
• MTEnv - MultiTask Environments for Reinforcement Learning.
• Mastering Atari with Discrete World Models (2021)
• Proto-RL: Reinforcement Learning with Prototypical Representations
• Task-Agnostic Morphology Optimization (2021) (Code)
• MADRL - Code for multi-agent deep reinforcement learning.
• Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings (2021) (Code)
• Self-supervised learning: The dark matter of intelligence (2021) (Tweet)
• Examples of RL applied to problems that aren’t gaming/robotics? (2021)
• Self-Supervised Policy Adaptation during Deployment (2020) (Reddit)
• Self-Supervised Learning - Yann LeCun (2019)
• Reinforcement Learning: Introduction by Sutton and Barto
• Debugging Reinforcement Learning Systems (2021)
• Mastering Real-Time Strategy Games with Deep Reinforcement Learning: Mere Mortal Edition (2021)
• adeptRL - Reinforcement learning framework to accelerate research.
• OpenAI Baselines - Set of high-quality implementations of reinforcement learning algorithms.
• Jax (Flax) RL - Jax (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
• Markov Decision Processes (MDPs) - Structuring a Reinforcement Learning Problem (2018)
• Deep Reinforcement Learning Berkeley Course (Code) (GitHub)
• Awesome Offline RL - Collection of research and review papers for offline reinforcement learning.
• Podracer architectures for scalable Reinforcement Learning (2021) (Tweet)
• RL Baselines3 Zoo - Training Framework for Stable Baselines3 Reinforcement Learning Agents.
• Awesome RL environments
• Awesome Deep RL
• Large collection of machine learning / RF paper notes
• Ecole - Extensible Combinatorial Optimization Learning Environments. (Web)
• MBRL-Lib - Library for Model Based RL.
• Towards a Theory of Generalization in Reinforcement Learning (2021)
• Evolving Reinforcement Learning Algorithms (2021)
• Model-Based RL for Decentralized Multi-agent Navigation (2021)
• Mastering Atari with Discrete World Models (2021) (Code) (Code)
• RoboDesk - Multi-Task Reinforcement Learning Benchmark.
• ReinforcementLearning.jl - Reinforcement learning package for Julia. (Web)
• Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies (2019) (Code)
• Cherry - PyTorch Library for Reinforcement Learning Research.
• Decision Transformer: Reinforcement Learning via Sequence Modeling (2021) (Reddit) (Reddit)
• Reinforcement Learning Tricks, Index
• CS234: Reinforcement Learning Course (Code)
• Decision Transformer: Reinforcement Learning via Sequence Modeling (2021) (Code)
• UC Berkeley Robot Learning Lab
• lifelong_rl - PyTorch implementations of RL algorithms.
• Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation (2021) (Code)
• Yann LeCun | The Energy-Based Learning Model (2021)
• Lil'Log - Blog about RL.
• PyTorch implementation of reinforcement learning algorithms
• D4RL: Datasets for Deep Data-Driven Reinforcement Learning
• Meta-World - Open source robotics benchmark for meta- and multi-task reinforcement learning. (Web)
• garage - Toolkit for reproducible reinforcement learning research.
• Reinforcement Learning as One Big Sequence Modeling Problem (2021)
• David Silver's UCL Course on RL
• Mava - Research framework for distributed multi-agent reinforcement learning. (Paper)
• Reinforcement Learning Examples - Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch.
• Hierarchical Reinforcement Learning by Discovering Intrinsic Options (Code)
• BASALT: A Benchmark for Learning from Human Feedback (2021) (Tweet)
• BRAX - Massively parallel rigidbody physics simulation on accelerator hardware.
• Towards Deeper Deep Reinforcement Learning (2021)
• Learning Invariant Representations for Reinforcement Learning without Reconstruction
• Python MARL - Python Multi-Agent Reinforcement Learning framework.
• Sample Factory - High throughput asynchronous reinforcement learning.
• Generally capable agents emerge from open-ended play (2021) (HN)
• Leveraging Procedural Generation to Benchmark Reinforcement Learning (2020) (Code)
• Intro to Advanced Actor-Critic Methods: Reinforcement Learning Course (2021)
• Tianshou - Elegant PyTorch deep reinforcement learning library. (Docs)
• Reinforcement Learning Generator-Evaluator Architecture for Question Generation
• AlphaGPU - Alphazero on GPU thanks to CUDA.jl.
• Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)
• For a beginner, what are the most influential papers in the history of RL? (2021)
• rliable - Open-source library for reliable evaluation on reinforcement learning and machine learnings benchmarks.
• d3rlpy - Offline deep reinforcement learning library. (Web)
• Why You Shouldn’t Use Reinforcement Learning (2021)
• Reinforcement Learning with Augmented Data (Code)
• Greedy AI agents learn to cooperate (2021) (HN)
• Spice.ai - Open source, portable runtime for training and using deep learning on time series data. (HN)
• Reinforcement Learning Lecture Series 2021 | DeepMind (Videos) (Tweet) (Reddit)
• PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch.
• rlberry - Easy-to-use reinforcement learning library for research and education.
• SEED RL - Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
• MiniHack - Sandbox for Open-Ended Reinforcement Learning Research.
• An Outsider's Tour of Reinforcement Learning (2018)
• Mastering Atari with Discrete World Models (2020) (Code)
• Falken - Provides developers with a service that allows them to train AI that can play their games.
• irl-imitation - Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL.
• Best RL papers from the past year or two (2021)
• Recurrent Model-Free RL is a Strong Baseline for Many POMDPs (2021)
• Godot RL Agents (Reddit)
• SaLinA: Sequential Learning of Agents (2021) - Flexible and Simple Library for Learning Sequential Agents (including Reinforcement Learning). (Code) (Tweet)
• EnvironmentLogger - Tool for recording RL trajectories.
• DrQ-v2 - Improved Data-Augmented Reinforcement Learning.
• Arcade Learning Environment (ALE) - Simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games.
• ML Mentorship: Some Q/A about RL (2021)
• RLs - Reinforcement Learning Algorithms Based on PyTorch.
• DeepMind Alchemy environment - Meta-reinforcement learning benchmark.
• gym-hybrid - Collection of environment for reinforcement learning task possessing discrete-continuous hybrid action space.
• Simple PyTorch Implementations of Deep RL Algorithms for Continuous Control Research
• Learning to Ground Multi-Agent Communication with Autoencoders (2021)
• Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives (2021) (Code)
• Unsupervised Reinforcement Learning Benchmark (URLB)
• Mastering Atari Games with Limited Data (2021) (Code)
• RL Starter Files - RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code.
• JORLDY - Open Source Reinforcement Learning Framework.
• sinergym - Gym environment for building simulation and control using reinforcement learning.
• MetaDrive - Composing Diverse Driving Scenarios for Generalizable RL.
• Crafter - Benchmarking the Spectrum of Agent Capabilities.
• RLDS - Reinforcement Learning Datasets.
• Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability (2021) (Paper)
• Offline Reinforcement Learning: BayLearn 2021 Keynote Talk
• Baby Robot's Guide to Reinforcement Learning
• Learning Off-Policy with Online Planning (2020) (Code)
• f-IRL: Inverse Reinforcement Learning via State Marginal Matching (2020) (Code)
• TD3+BC - Minimalist Approach to Offline Reinforcement Learning.
• Reinforcement Learning Course Materials
• On the Expressivity of Markov Reward (2021) (Tweet)
• Isaac Gym Benchmark Environments - Contains example RL environments for the NVIDIA Isaac Gym high performance environments.
• Offline Reinforcement Learning with Implicit Q-Learning (2021) (Code)
• A Survey of Generalisation in Deep Reinforcement Learning (2021) (Tweet)
• Permutation-Invariant Neural Networks for Reinforcement Learning (2021)
• EnvPool - C++-based high-performance parallel environment execution engine for general RL environments. (Docs)
• Magi RL library in JAX
• WarpDrive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU.
• Embodied - Fast reinforcement learning research.
• Permutation-Invariant Neural Networks for Reinforcement Learning (2021) (HN)
• Only RL setting worth studying is the MDP (2021) (Tweet)
• Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy (2020) (Code)
• Deep Reinforcement Learning Algorithms with PyTorch
• MARL-Baselines3 - Multi-Agent Reinforcement Learning with Stable-Baselines3.
• ALF - Reinforcement learning framework emphasizing on the flexibility and easiness of implementing complex algorithms involving many different components.
• On the Practical Consistency of Meta-Reinforcement Learning Algorithms (2021) (Tweet)
• Awesome Reinforcement Learning for Cyber Security
• Balloon Learning Environment - Flying stratospheric balloons with deep reinforcement learning.
• The potential of transformers in reinforcement learning (2021) (HN)
• rvs - Reinforcement Learning via Supervised Learning.
• RLHive - Framework designed to facilitate research in reinforcement learning.
• Gym-ANM - Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
• Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation (2020)
• Deep Reinforcement Learning for Keras
• DeepRL - Modularized Implementation of Deep RL Algorithms in PyTorch.
• Deep Reinforcement Learning Toolkit for Cryptocurrencies - Record and replay cryptocurrency limit order book data & train a DDQN agent.
• Multi-View Reinforcement Learning (2019) (Code)
• Mean Field Multi-Agent Reinforcement Learning (2019) (Code)
• An Optimistic Perspective on Offline Reinforcement Learning (2020) (Code)
• Deep Inverse Reinforcement Learning (Code)
• RLMeta - Light-weight flexible framework for Distributed Reinforcement Learning Research.
• HandyRL - Handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
• Simple random search provides a competitive approach to reinforcement learning (2018) (Code)
• Reinforcement Learning as a fine-tuning paradigm (2022)
• MTRL - Multi Task RL Baselines.
• MAgent - Library for creating 2D environments with very large numbers of agents for conducting research in Multi-Agent Reinforcement Learning.
• RLkit - Reinforcement learning framework and algorithms implemented in PyTorch.
• Can Wikipedia Help Offline Reinforcement Learning? (2022) (Code)
• Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning (2021) (Code)
• Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning (2021) (Code)
• Representation Learning for Reinforcement Learning
• Deep Reinforcement Learning in The Real World
• Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero (2019) (Code)
• The Value Equivalence Principle for Model-Based Reinforcement Learning (2020) (Code)
• ai-traineree - PyTorch agents and tools for (Deep) Reinforcement Learning.
• RL Games: High performance RL library
• MuZero’s first step from research into the real world (2022) (HN)
• Isaac-ManipulaRL - Manipulator Reinforcement Learning based on Isaac-gym.
• coax - Plug-n-Play Reinforcement Learning in Python with OpenAI Gym and JAX.
• Implementation of Distributed Reinforcement Learning with TensorFlow
• Gold - Reinforcement Learning in Go.
• MetaGym - Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
• Melting Pot - Suite of test scenarios for multi-agent reinforcement learning.
• CQL - Simple and modular implementation of the Conservative Q Learning and Soft Actor Critic algorithm in PyTorch.
• Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments (2017) (Code)
• TorchRL - Modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
• The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games (Code)
• Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning (2021) (Code)
• or-gym - Environments for OR and RL Research.
• AI-Optimizer - Next generation deep reinforcement learning tookit.
• SuperSonic - Automating reinforcement learning architecture design for code optimization.
• panda-gym - OpenAI/gym robotic environments based on PyBullet physics engine.
• Huskarl - Deep Reinforcement Learning Framework + Algorithms.
• Resources and material for an internal course on Reinforcement Learning
• MO-Gym: Multi-Objective Reinforcement Learning Environments
• DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills (2018) (Code)
• SC2RL - Reinforcement Learning + Starcraft 2.
• raylab - Reinforcement learning algorithms in RLlib and PyTorch.
• Hugging Face Deep Reinforcement Learning Class
• OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone
• Hands-on Reinforcement Learning course
• Rocket League Gym - Gym-like environment for Reinforcement Learning in Rocket League.
• SLM Lab - Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
• Safe Reinforcement Learning Baseline
• Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning
• Understanding Game-Playing Agents with Natural Language Annotations (2022) (Tweet)
• Learning to Brachiate via Simplified Model Imitation (2022) (Code)
• DeepMind: A Generalist Agent (2022) (HN) (Tweet)
• Alpha Zero and Monte Carlo Tree Search - Absolute most basic example of AlphaZero and Monte Carlo Tree Search. (Code)
• Scalable Deep Reinforcement Learning Algorithms for Mean Field Games (2022)
• RL4Rec - Toolkit of Reinforcement Learning based Recommendation.
• Brain Agent - Large-Scale and Multi-Task Agent Learning.
• Julia Reinforcement Learning Algorithms
• Border - Reinforcement learning library in Rust.
• Multi-Agent Reinforcement Learning is a Sequence Modeling Problem (2022) (HN)
• Reinforcement Learning with Neural Radiance Fields (2022) (Web)
• Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs (2022) (Code)
• Offline RL for Natural Language Generation with Implicit Language Q Learning (Code)
• Flow - Computational framework for deep RL and control experiments for traffic microsimulation.
• AlgebraicRL.jl - Julia library for composing Markov decision processes (MDPs) and their agents compositionally.
• Ivy Gym - Fully differentiable RL environments, written in Ivy.
• RL agent using private and shared world models
• Popular Model-free Reinforcement Learning Algorithms
• Designing Arithmetic Circuits with Deep Reinforcement Learning (2022)
• Synthesis - Rust implementation of AlphaZero algorithm.
• CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (2022) (Code)
• Reinforcement Learning for Budget Constrained Recommendations (2022)