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Rllib Python Packages

Python packages with the GitHub topic rllib. Sorted by relevance, with stars and monthly downloads.
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.

56.1M 43K 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.

43K 43K 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.

42K 43K 8K
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.

7K 43K 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.

4K 566 109
ray-project
ant-ray

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

4K 43K 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.

3K 3 2
angelolovatto
raylab

Reinforcement learning algorithms in RLlib

3K 59 10
ccnets-team
remoterl

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

895 3 0
CN-UPB
deepcomp

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

568 66 13
stefanbschneider
mobile-env

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

493 153 32
MarcEscandell
alpyperl

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

480 39 6
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.

408 43K 8K
elliottower
gobblet-rl

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

385 12 0
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.

339 43K 8K
pyrddlgym-project
pyrddlgym-rl

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

305 5 2
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.

300 43K 8K
Nullspace-Colombia
unray

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

289 12 1
DylanCope
rllib-emecom

Framework for Emergent Communication using RLlib

224 3 0
elliottower
cathedral-rl

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

170 8 0
ray-project
ray-for-mars

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

80 43K 8K
michaelfeil
rlskyjo

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

72 16 0
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.

42 43K 8K
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