Showing 21-27 of 27 projects
PyTorch implementation of Deep Reinforcement Learning algorithms like TRPO, PPO, A2C, and GAIL.
A PyTorch implementation of the Proximal Policy Optimization (PPO) algorithm for training an AI agent to play Super Mario Bros.
A simple and well-styled implementation of the PPO reinforcement learning algorithm, with a tutorial series
High quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
A Python library for training a humanoid robot to walk using reinforcement learning.
XuanCe is a comprehensive and unified deep reinforcement learning library for a variety of environments and tasks.
Fast and efficient Jax-based reinforcement learning implementations for developers building AI-powered applications.
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