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Rllib Python Packages

Python packages with the GitHub topic rllib. Sorted by monthly downloads, with stars and forks.
ray-project
ray

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

14.4M 44K 8K
ray-project
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.

26K 44K 8K
ray-project
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.

20K 44K 8K
proroklab
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.

6K 620 114
ray-project
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.

4K 44K 8K
hermmanhender
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.

2K 3 2
angelolovatto
raylab

Reinforcement learning algorithms in RLlib

2K 58 10
ray-project
ant-ray

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

2K 44K 8K
ccnets-team
remoterl

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

819 3 0
stefanbschneider
mobile-env

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

375 155 35
ray-project
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.

345 44K 8K
elliottower
gobblet-rl

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

342 12 0
CN-UPB
deepcomp

Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

326 67 11
ray-project
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.

316 44K 8K
pyrddlgym-project
pyrddlgym-rl

Wrappers for reinforcement learning algorithms (i.e. stable baselines 3, RLlib) to work with pyRDDLGym.

314 5 2
MarcEscandell
alpyperl

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

299 40 6
ray-project
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.

184 44K 8K
Nullspace-Colombia
unray

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

176 12 1
DylanCope
rllib-emecom

Emergent Communication in RLlib

133 3 0
elliottower
cathedral-rl

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

109 8 0
michaelfeil
rlskyjo

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

62 15 1
ray-project
ray-for-mars

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

60 44K 8K
ray-project
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.

39 44K 8K
Nullspace-Colombia
unrayf

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

0 12 1
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