Showing 10 of 10 projects
A reliable PyTorch implementation of reinforcement learning algorithms for research and industry.
A standard Python API for single-agent reinforcement learning environments with a collection of reference environments and utilities.
A deep reinforcement learning library offering high-quality, single-file implementations of algorithms like PPO, DQN, and SAC for research and education.
A Python library providing a standardized API for multi-agent reinforcement learning environments with diverse reference games.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control.
A C++-based high-performance parallel environment execution engine for vectorized reinforcement learning simulations.
A modular Python library for Reinforcement Learning with support for PyTorch, JAX, NVIDIA Warp, and multiple environment interfaces.
An open-source simulator for experimenting with and advancing self-driving AI, accessible to anyone with a PC.
A unified benchmark suite with PyBullet CartPole and Quadrotor environments and symbolic CasADi dynamics for safe learning-based control and reinforcement learning.
JAX (Flax) implementations of reinforcement learning algorithms for continuous action spaces, designed for research.
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