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Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning
Master programming by recreating your favorite technologies from scratch.
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Computational framework for reinforcement learning in traffic control
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Matlab Coding homework for Machine Learning
A parallel framework for population-based multi-agent reinforcement learning.
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Paper list of multi-agent reinforcement learning (MARL)
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Reinforcement Learning + traffic microsimulation (via SUMO). Uses Ray RLLIB and forces SUMO into the OpenAI Gym Framework
Demos of reinforcement learning on Simulation of Urban MObility
Python3 library able to connect the RLLIB framework with the SUMO simulator.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gym, PettingZoo, and popular RL libraries.
marl for traffic control
An elegant PyTorch deep reinforcement learning library.
Code for Weighted QMIX
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.