yuanzhi0515

Pinned Repositories

Advanced_XLight
Official code for "Expression is enough: Improving traffic signal control with advanced traffic state representation ".
Language:Python00
AttentionLight
Official code for "Knowledge intensive state design for traffic signal control"
Language:Python00
awesome-decision-transformer
A curated list of Decision Transformer resources (continually updated)
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awesome-reinforcement-learning-lib
GitHub's code repository is all you need
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baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Language:Python00
CIL-DDQN
code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》
Language:Python00
CityBrainLab
Language:Python00
CityFlow_dyn
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Language:C++00
citylearn-2020-pikapika
CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team
Language:Python00
DynamicLight
Official code for article <DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL>.
Language:Python1 0 00

yuanzhi0515's Repositories

yuanzhi0515/DynamicLight
Official code for article <DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL>.
Language:Python1 0 00
yuanzhi0515/Advanced_XLight
Official code for "Expression is enough: Improving traffic signal control with advanced traffic state representation ".
Language:Python00
yuanzhi0515/AttentionLight
Official code for "Knowledge intensive state design for traffic signal control"
Language:Python00
yuanzhi0515/awesome-decision-transformer
A curated list of Decision Transformer resources (continually updated)
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yuanzhi0515/awesome-reinforcement-learning-lib
GitHub's code repository is all you need
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yuanzhi0515/CityBrainLab
Language:Python00
yuanzhi0515/CityFlow_dyn
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Language:C++00
yuanzhi0515/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Language:Python00
yuanzhi0515/CORL
High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC
Language:Python00
yuanzhi0515/cs-roadmap
❤️这是一条汇总网上许多资料，而不是资料的纯粹堆砌，让人眼花缭乱的复制粘贴，这不是帮你在总结所有的知识点，而是根据实际的计算机系课程来安排学习路线，并且配合上面向就业的学习，与完全跟着学校课程相比，做到了不和工业界面试不脱节，非常实际、非常认真、非常掉头发，真心求个视频三连！
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yuanzhi0515/DI-drive
Decision Intelligence Platform for Autonomous Driving simulation.
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yuanzhi0515/dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
yuanzhi0515/ecole
Extensible Combinatorial Optimization Learning Environments
yuanzhi0515/Efficient_XLight
Official code for "Efficient Pressure: Improving efficiency for signalized intersections ".
yuanzhi0515/epymarl_resco
EPyMARL codebase modified to operate the RESCO benchmark environments
yuanzhi0515/Free-Docker-Books
Learn books from Docker & K8s
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yuanzhi0515/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
yuanzhi0515/gen_pandapower_pv
Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.
yuanzhi0515/learning
Learning Shell，Python，Golang，System，Network
yuanzhi0515/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
yuanzhi0515/MAPDN
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
yuanzhi0515/OI-wiki
:star2: Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）
yuanzhi0515/RoadnetSZ
yuanzhi0515/rpo
Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"
yuanzhi0515/SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
Language:Python0 0
yuanzhi0515/sumo-rl
An interface for Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with gym, PettingZoo and RLlib.
Language:Python
yuanzhi0515/sumolights
SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights
yuanzhi0515/TinyLight
Code for "Adaptive Traffic Signal Control on Devices with Extremely Limited Resources" (IJCAI 2022)
yuanzhi0515/UniLight
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
yuanzhi0515/ZOiRL
Zeroth-Order Implicit Reinforcement Learning. 🏆 Winner of 2021 CityLearn RL research competition!