zcchenvy

CIL-DDQN

code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

Data-Structure

《数据结构》-严蔚敏.吴伟民-教材源码与习题解析

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Java

☕️Java👫面向对象📝编程题💾数据库☎️常用框架📖系统设计💪工具📚参考资料

MaCA

MLBC-DQN

code for paper 《Advertising Impression Resource Allocation Strategy with Multilevel Budget Constraint DQN in Real-Time Bidding》

Multi-Agent-Constrained-Policy-Optimisation

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

Multi-Agent-Transformer

omnisafe

OmniSafe is a comprehensive and reliable benchmark for safe reinforcement learning.

zcchenvy/Java

☕️Java👫面向对象📝编程题💾数据库☎️常用框架📖系统设计💪工具📚参考资料

zcchenvy/easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

zcchenvy/d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

zcchenvy/Multi-Agent-Constrained-Policy-Optimisation

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

zcchenvy/Multi-Agent-Transformer

zcchenvy/omnisafe

OmniSafe is a comprehensive and reliable benchmark for safe reinforcement learning.

zcchenvy/PNC-HDQN

codes for paper 《Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions》

zcchenvy/RoadnetSZ

zcchenvy/AdaRL-code

Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.

zcchenvy/awesome-multi-modal-reinforcement-learning

A curated list of Multi-Modal Reinforcement Learning resources (continually updated)

zcchenvy/consistency_models

Official repo for consistency models.

zcchenvy/decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

zcchenvy/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

zcchenvy/GCS_aamas337

The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》

zcchenvy/gossiper-media-model

code of paper "Opinion Evolution Dynamics in Multiagent Reinforcement Learning based Gossiper-Media Model"

zcchenvy/gym_cityflow

Adds CityFlow to Gym

zcchenvy/HARL

Official implementation of HARL algorithms based on PyTorch.

zcchenvy/hok_env

zcchenvy/LibSignal

zcchenvy/Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

zcchenvy/MAPTF_code

Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning

zcchenvy/MASAC

Multi-Agent SAC on PettingZoo API

zcchenvy/MOSS

An open-source tool-augmented conversational language model from Fudan University

zcchenvy/openrl

通用强化学习研究框架

zcchenvy/PPO-PyTorch

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

zcchenvy/PTF_code

Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer

zcchenvy/Safe-Reinforcement-Learning-Baseline

The repository is for safe reinforcement learning baselines.

zcchenvy/tianshou

An elegant PyTorch deep reinforcement learning library.

zcchenvy/TorchOpt

TorchOpt is a high-performance optimizer library built upon PyTorch for easy implementation of functional optimization and gradient-based meta-learning.

zcchenvy/TRPO-in-MARL