There are 42 repositories under reinforcement-learning-algorithms topic.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Repo for the Deep Reinforcement Learning Nanodegree program
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
OpenDILab Decision AI Engine
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
NMA deep learning course
A curated list of awesome model based RL resources (continually updated)
A PyTorch library for building deep reinforcement learning agents.
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
A curated list of Monte Carlo tree search papers with implementations.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Really Fast End-to-End Jax RL Implementations
A curated list of Decision Transformer resources (continually updated)
PyTorch C++ Reinforcement Learning
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
《Reinforcement Learning: An Introduction》(第二版)中文翻译
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
GitHub's code repository is all you need
A curated list of awesome exploration RL resources (continually updated)
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
Reinforcement learning with A* and a deep heuristic
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Scalable Implementation of Deep CFR and Single Deep CFR
A simple framework for experimenting with Reinforcement Learning in Python.
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]