kyutian

kyutian

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paper-reading

深度学习经典、新论文逐段精读

License:Apache-2.0Stargazers:25910Issues:717Issues:0

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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PettingZoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

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PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Language:PythonLicense:MITStargazers:1618Issues:9Issues:61

Evolutionary-Algorithm

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

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DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

Language:PythonLicense:MITStargazers:657Issues:7Issues:38

mac-network

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

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Deep-QLearning-Agent-for-Traffic-Signal-Control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Language:Jupyter NotebookLicense:MITStargazers:402Issues:8Issues:35

mfrl

Mean Field Multi-Agent Reinforcement Learning

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deeprl_network

multi-agent deep reinforcement learning for networked system control.

trafficSimulator

A microscopic traffic simulation in Python

Language:PythonLicense:MITStargazers:344Issues:17Issues:15

DGN

DGN Code

MARL-papers-with-code

Multi-Agent Reinforcement Learning (MARL) papers with code

MARL-resources-collection

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

RL_signals

All you need to know about Reinforcement Learning for Traffic Signal Control. https://traffic-signal-control.github.io/

pytorch_DGN

The pytorch implementation of DGN on grid world and Starcraft

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DRL_algorithm_library

This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

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traffic-monitor

基于高德地图的交通数据分析

IG-RL

Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

A-star-maze

A* (A-Star) algorithm for finding the shortest path in a maze

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Traffic-Control-Reinforcement-Learing-Agent

Deep Reinforcement Learning Agent to control traffic light providing emergency facilitation using real-time traffic data.

Language:Jupyter NotebookStargazers:9Issues:1Issues:4

PRD-MAPPO

Extending PRD to MAPPO with soft and semi-hard attention mechanisms

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KeyCommutingRoutes

This code is a framework of key commuting routes mining algorithm based on license plate recognition(LPR) data.

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