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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.

python data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed hyperparameter-optimization ray hyperparameter-search serving rllib large-language-models llm llm-serving llm-inference

UpdatedMar 17, 2025
Python

Replicable-MARL /MARLlib

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

deep-reinforcement-learning pytorch ray multi-agent-reinforcement-learning rllib

UpdatedNov 28, 2024
Python

VectorizedMultiAgentSimulator

proroklab /VectorizedMultiAgentSimulator

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.

simulator robotics simulation pytorch multi-agent gym vectorization multi-agent-systems vectorized multi-robot multi-robot-framework multi-agent-learning gym-environment multi-agent-simulation multi-agent-reinforcement-learning rllib marl multi-robot-simulator multi-robot-sim multi-robot-systems

UpdatedFeb 27, 2025
Python

Draichi /T-1000

⚡ ⚡ 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐

bot trading trading-bot algotrading rl ray reinforcement-learning-bot rllib

UpdatedNov 9, 2023
Python

ChuaCheowHuan /gym-continuousDoubleAuction

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.

lstm quantitative-finance ray limit-order-book quantitative-trading financial-engineering market-microstructure zero-sum high-frequency-trading gym-environment ppo self-play double-auction multi-agent-reinforcement-learning rllib marl n-player zero-sum-games

UpdatedJan 1, 2023
Jupyter Notebook

stefanbschneider /mobile-env

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

python environment mobile reinforcement-learning simulation optimization management evaluation coordination python3 gym autonomous wireless cellular gymnasium mobile-networks multi-agent-reinforcement-learning rllib stable-baselines cell-selection

UpdatedNov 19, 2024
Python

druce /rl

Deep Reinforcement Learning For Trading

python machine-learning reinforcement-learning deep-learning trading keras jupyter-notebook quantitative-finance algorithmic-trading deep-q-network quantitative-trading keras-tensorflow rllib

UpdatedFeb 1, 2024
Jupyter Notebook

DerwenAI /ray_tutorial

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

python distributed-systems scikit-learn sharding profiling ray futures pattern-language task-parallelism actor-pattern rllib ray-tutorial introductory-tutorial

UpdatedAug 30, 2023
Jupyter Notebook

JacopoPan /a-minimalist-guide

Walkthroughs for DSL, AirSim, the Vector Institute, and more

ubuntu anaconda tensorflow slurm tutorials torch nvidia ray unreal-engine-4 airsim mujoco rllib robomaster-sdk brax robomaster-s1 dji-tello-talent

UpdatedMar 31, 2022
C++

DerwenAI /rllib_tutorials

RLlib tutorials

reinforcement-learning gym rllib rllib-tutorials

UpdatedJan 2, 2022
Jupyter Notebook

goshaQ /adaptive-tls

Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning

reinforcement-learning sumo traffic-control rllib

UpdatedNov 17, 2020
Python

CN-UPB /DeepCoMP

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

python mobile reinforcement-learning simulation wireless cellular ray comp ppo multi-agent-reinforcement-learning rllib cell-selection

UpdatedJul 30, 2023
Python

0xangelo /raylab

Reinforcement learning algorithms in RLlib

machine-learning reinforcement-learning deep-learning pytorch bokeh normalizing-flows generative-models model-based-rl rllib streamlit

UpdatedMay 3, 2024
Python

DerwenAI /gym_example

An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial

machine-learning reinforcement-learning ray gym-environment rllib

UpdatedJan 2, 2022
Python

MarcEscandell /ALPypeRL

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

reinforcement-learning simulation ray anylogic rllib

UpdatedJul 26, 2024
Python

AhmetFurkanDEMIR /SuperMarioBrosRL

Super Mario Bros training with Ray RLlib DQN algorithm

reinforcement-learning tensorflow keras rl ray rllib dqn-tensorflow

UpdatedMay 22, 2021
Python

AutonomousVehicleSimulation

rlew631 /AutonomousVehicleSimulation

Used Flow, Ray/RLlib and OpenAI Gym to simulate and train autonomous vehicles/human drivers in SUMO (Simulation of Urban Mobility)

flow rllib flow-minicity-environment simulating-autonomous-vehicles

UpdatedDec 15, 2020
Jupyter Notebook

OpenRL-Lab /Ray_Tutorial

Tutorial for Ray

reinforcement-learning tutorials ray distributed-training rllib rllib-tutorials

UpdatedMar 31, 2024
Python

nicofirst1 /rl_werewolf

RL environment replicating the werewolf game to study emergent communication

python reinforcement-learning mafia-game emergent-behavior werewolf-game rllib emergent-communication

UpdatedMay 25, 2023
Python

openpsi-projects /srl

SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores

distributed-systems reinforcement-learning deep-learning scalability rllib

UpdatedApr 24, 2024
Python

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