PPO-pybullet-byKeras

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Self hosted FLOSS fitness/workout, nutrition and weight tracker

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

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

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

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"