Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

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

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Scalable, event-driven, deep-learning-friendly backtesting library

Python library for Reinforcement Learning.

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES

BabyAI platform. A testbed for training agents to understand and execute language commands.

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

A collection of multi agent environments based on OpenAI gym.

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

💦 Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

A3C LSTM Atari with Pytorch plus A3G design