ZHQ-air

ZHQ-air's Stars

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python6k38186676

• Blizzard/s2client-proto

  StarCraft II Client - protocol definitions used to communicate with StarCraft II.

  Language:Python3.8k195125434

• cjy1992/gym-carla

  An OpenAI gym wrapper for CARLA simulator

  Language:Python5511048111

• kaixindelele/DRLib

  DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.

  Language:Python52671370

• DataCanvasIO/YLearn

  YLearn, a pun of "learn why", is a python package for causal inference

  Language:Python409123275

• liuruoze/mini-AlphaStar

  (JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

  Language:Python319133457

• zhangfuyang/rl_CARLA

  Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator

  Language:Python23073241

• ClausewitzCPU0/SC2AI

  星际2 AI中文教程 StarCraft2 AI with python-sc2/pysc2 API

  Language:Python2285345

• Lei-Kun/DRL-and-graph-neural-network-for-routing-problems

  This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

  Language:Python2011024

• kimbring2/AlphaStar_Implementation

  This project is implementation code of AlphaStar

  Language:Python189121226

• ggtracker/sc2reader

  Extracts gameplay information from Starcraft II replay files

  Language:Python1501781142

• jingwenli0312/HCVRP_DRL

  This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"

  Language:Python1351730

• ShuaibinLi/RL_CARLA

  Train auto_car in CARLA simulator with RL algorithms(SAC).

  Language:Python9531011

• keep9oing/DRQN-Pytorch-CartPole-v1

  Deep recurrent Q learning on CartPole-v1 environment

  Language:Python811117

• StarBeta/Thought-SC2

  Efficient Reinforcement Learning with a Thought-Game for StarCraft

  Language:Python463213

• UnrealTracking/mate

  MATE: the Multi-Agent Tracking Environment.

  Language:Python432012

• orrivlin/MountainCar_DQN_RND

  Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)

  Language:Python40038

• indylab/nxdo

  Deep RL Code for XDO: A Double Oracle Algorithm for Extensive-Form Games

  Language:Python37438

• marmotlab/DAN

  Public version of the decentralized, attention-based mTSP code

  Language:Python35107

• chscheller/sc2_imitation_learning

  StarCraft 2 Imitation Learning

  Language:Python29333

• waterhorse1/NAC

  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.

  Language:Jupyter Notebook28213

• diversepsro/diverse_psro

  Language:Python18118

• wenzhe-li/FightLadder

  Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"

  Language:Python17204

• adamslab-ub/CapAM-MRTA

  Language:Python16119

• jinxinglim/Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles

  Language:Jupyter Notebook14100

• quangr/deepnash

  Language:Python13112

• lzhan144/Solving-CarRacing-with-DDPG

  Language:Python11000

• Karthik-Ragunath/carla_sac

  Language:Jupyter Notebook911

• taliesinb/spieeltjie

  Small lab for experiments with PSRO, game theoretic niching, etc.

  Language:Python7602

• ahmgam/simple-gazebo-world-creator

  simple python script to generate gazebo world with it's occupancy map

  Language:Python1100