PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Updated
Dec 19, 2022 - Python
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Self hosted FLOSS fitness/workout, nutrition and weight tracker written with Django
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Simple A3C implementation with pytorch + multiprocessing
Structural implementation of RL key algorithms
Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC
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