There are 53 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. The Most Comprehensive Reinforcement Learning Framework B.P.
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
A curated list of awesome model based RL resources (continually updated)
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.
Really Fast End-to-End Jax RL Implementations
A curated list of Decision Transformer resources (continually updated)
NMA deep learning course
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 curated list of Monte Carlo tree search papers with implementations.
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
A PyTorch library for building deep reinforcement learning agents.
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
《Reinforcement Learning: An Introduction》(第二版)中文翻译
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
A curated list of awesome exploration RL resources (continually updated)
PyTorch C++ Reinforcement Learning
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
Framework for Multi-Agent Deep Reinforcement Learning in Poker
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
GitHub's code repository is all you need
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
A simple framework for experimenting with Reinforcement Learning in Python.
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
DI-engine docs (Chinese and English)