AI Agent Skills

A collection of multi agent environments based on OpenAI gym.

A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.

Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695

Set of robotic environments based on PyBullet physics engine and gymnasium.

K-Sim Gym: Making robots useful with RL. Built on top of K-Sim.

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

Framework and toolkits for building and evaluating collaborative agents that can work together with humans.

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

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

👨‍💻 Gym & Club Management System https://gymie.in

👨‍💻 Gym & Club Management System https://gymie.in

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.

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray […

Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning