zcchenvy's Stars
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
MLNLP-World/Paper-Writing-Tips
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
kzl/decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
opendilab/PPOxFamily
PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )
nikhilbarhate99/PPO-PyTorch
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
PKU-Alignment/omnisafe
OmniSafe is an infrastructural framework for accelerating SafeRL research.
Replicable-MARL/MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
opendilab/DI-sheep
羊了个羊 + 深度强化学习(Deep Reinforcement Learning + 3 Tiles Game)
opendilab/awesome-multi-modal-reinforcement-learning
A curated list of Multi-Modal Reinforcement Learning resources (continually updated)
wwxFromTju/awesome-reinforcement-learning-lib
GitHub's code repository is all you need
DaRL-LibSignal/LibSignal
martyput/MDP_book
CityBrainChallenge/KDDCup2021-CityBrainChallenge-starter-kit
vinayprabhu/X-is-all-you-need
A survey of all the 'X is all you need'
gilzamir18/AI4U
AI4U is a plugin that allows you use the Godot Game Engine to specify agents with reinforcement learning. Non-Player Characters (NPCs) of games can be designed using ready-made components.
ffelten/MASAC
Jax and Torch Multi-Agent SAC on PettingZoo API
makiJanus/Easy_DRL_Isaac_Sim
FXDevailly/IG-RL
Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
Adaptive-RL/AdaRL-code
Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.
paulorocosta/genetic-algorithm-GVRP
Implementation of the paper A Genetic Algorithm for a Green Vehicle Routing Problem
CNDOTA/NeurIPS22-ATM
PKU-RL/FOP-DMAC-MACPF
LucasAlegre/sfols
Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer - ICML 2022
MaxVanDijck/gym-cityflow
The gym-cityflow environment is a multiagent domain featuring large discrete state and action spaces. An environment can be created from any set of cityflow config files
zcchenvy/Data-Structure
《数据结构》-严蔚敏.吴伟民-教材源码与习题解析
zengbohan0217/RL_GCN
MARL-and-Game-Group/Papers-of-MARL
zcchenvy/Multi-Agent-Transformer