Rllib Python Packages

ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ant-ray-cpp-nightly

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ray-cpp

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ant-ray-nightly

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

vmas

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.

ant-ray

Ray provides a simple, universal API for building distributed applications.

eprllib

Repository that houses the program used to investigate the control of subsystems in homes based on a DRL model. The program uses the EnergyPlus Python API and Ray's Tune and RLlib libraries.

raylab

Reinforcement learning algorithms in RLlib

remoterl

RemoteRL — zero-setup cloud service for reinforcement learning, anywhere and at any scale

deepcomp

DeepCoMP: Self-Learning Dynamic Multi-Cell Selection for Coordinated Multipoint (CoMP)

mobile-env

An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.

alpyperl

An open source library for connecting AnyLogic models with Reinforcement Learning frameworks through OpenAI Gymnasium

ve-ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

gobblet-rl

Interactive Multi-Agent Reinforcement Learning Environment for the board game Gobblet using PettingZoo.

ant-ray-cpp

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

pyrddlgym-rl

pyRDDLGym-rl: Wrappers for reinforcement learning algorithms (i.e. stable baselines 3) to work with pyRDDLGym.

secretflow-ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

unray

Rllib framework for using Unreal Engine 5 (UE5) as external environment for Reinforced Learning training process

rllib-emecom

Framework for Emergent Communication using RLlib

cathedral-rl

Interactive Multi-Agent Reinforcement Learning Environment for the board game Cathedral using PettingZoo

ray-for-mars

Ray provides a simple, universal API for building distributed applications.

rlskyjo

Multi-Agent Reinforcement Learning Environment for the card game SkyJo, compatible with PettingZoo and RLLIB

fangyu-pypitest

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.