PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Updated
Jul 5, 2024 - Python
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
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
A curated list of awesome model based RL resources (continually updated)
NMA deep learning course
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.
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 PyTorch library for building deep reinforcement learning agents.
A curated list of Decision Transformer resources (continually updated)
Really Fast End-to-End Jax RL Implementations
A curated list of Monte Carlo tree search papers with implementations.
Guided Policy Search
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
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