rllib topic

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ray-project

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

utiasDSL

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 [RLlib] is used for training.

ChuaCheowHuan

:zap: :zap: 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐

Draichi

An introductory tutorial about leveraging Ray core features for distributed patterns.

DerwenAI

Deep Reinforcement Learning For Trading

druce

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Replicable-MARL

Reinforcement learning algorithms in RLlib

0xangelo

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...

proroklab

RLlib tutorials

DerwenAI