PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Updated
Jul 15, 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. The Most Comprehensive Reinforcement Learning Framework B.P.
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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