PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Updated
May 28, 2024 - Python
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Simple and easily configurable grid world environments for reinforcement learning
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Self hosted FLOSS fitness/workout, nutrition and weight tracker
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
👨💻 Gym & Club Management System https://gymie.in
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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