Fanniao727

Fanniao727's Stars

• Gooddbird/tinyrpc

  c++ async rpc framework. 14w+qps.

  Language:C++1.3k191

• jiechuanjiang/EOI_on_SMAC

  An improved version of EOI on Starcraft II task so_many_baneling. (The Emergence of Individuality)

  Language:Python194

• semitable/seps

  Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)

  Language:Python96

• Reanon/SEUThesisLatexTemplate

  东南大学 硕士毕业论文 Latex 模版 网络空间安全学院

  Language:TeX15425

• uoe-agents/epymarl

  An extension of the PyMARL codebase that includes additional algorithms and environment support

  Language:Python518140

• hijkzzz/noisy-mappo

  Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

  Language:Python546

• sanmuyang/multi-agent-PPO-on-SMAC

  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.

  Language:Python575

• ShAw7ock/MPE-Multiagent-RL-Algos

  Simple verification experiments codes for multi-agent RL using OpenAI MPE environment

  Language:Python292

• yuesong-feng/30dayMakeCppServer

  30天自制C++服务器，包含教程和源代码

  Language:C++5.8k756

• Lizhi-sjtu/DRL-code-pytorch

  Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

  Language:Python1.1k179

• Lizhi-sjtu/MARL-code-pytorch

  Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

  Language:Python45061

• shariqiqbal2810/MAAC

  Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

  Language:Python678173

• mansicer/MAIC

  The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".

  Language:Python509

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4.1k728

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.8k851

• agedcat/WebServer

  Uubuntu 20 C++版本的web服务器

  Language:C++24843

• mtrebi/thread-pool

  Thread pool implementation using c++11 threads

  Language:C++1.1k226

• TonghanWang/RODE

  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.

  Language:Python6920

• oxwhirl/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python1.9k387

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile67.7k8.8k

• lich14/CDS

  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.

  Language:Python8419

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python8k1.1k

• gxywy/rl-plotter

  :sparkles: A plotter for reinforcement learning (RL)

  Language:Python20930

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.5k283

• shariqiqbal2810/maddpg-pytorch

  PyTorch Implementation of MADDPG (Lowe et. al. 2017)

  Language:Python579129

• openai/multiagent-particle-envs

  Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python2.4k788

• starry-sky6688/MADDPG

  Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

  Language:Python54683

• kzl/decision-transformer

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

  Language:Python2.4k449

• NeuronDance/DeepRL

  Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

  2.4k580

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.3k2.5k