chenvy's repositories
AdaRL-code
Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.
awesome-multi-modal-reinforcement-learning
A curated list of Multi-Modal Reinforcement Learning resources (continually updated)
consistency_models
Official repo for consistency models.
decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
GCS_aamas337
The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
gossiper-media-model
code of paper "Opinion Evolution Dynamics in Multiagent Reinforcement Learning based Gossiper-Media Model"
gym_cityflow
Adds CityFlow to Gym
HARL
Official implementation of HARL algorithms based on PyTorch.
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！
MAPTF_code
Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
MASAC
Multi-Agent SAC on PettingZoo API
MOSS
An open-source tool-augmented conversational language model from Fudan University
Multi-Agent-Constrained-Policy-Optimisation
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
openrl
通用强化学习研究框架
PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
PTF_code
Source code for paper: Efficient deep reinforcement learning via adaptive policy transfer
Safe-Reinforcement-Learning-Baseline
The repository is for safe reinforcement learning baselines.
tianshou
An elegant PyTorch deep reinforcement learning library.
TorchOpt
TorchOpt is a high-performance optimizer library built upon PyTorch for easy implementation of functional optimization and gradient-based meta-learning.