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

A minimalist environment for decision-making in autonomous driving

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Reinforcement Learning environments based on the 1993 game Doom

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

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

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Build RL environments for LLM training

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

ns3-gym - The Playground for Reinforcement Learning in Networking Research

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

Obstacle Tower Environment

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

深度强化学习路径规划, SAC路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真，Adaptive-SAC

Framework for Multi-Agent Deep Reinforcement Learning in Poker

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

A simple, easy, customizable Gymnasium environment for trading.

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments