tjuHaoXiaotian

tjuHaoXiaotian's Stars

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell49.3k37922411.1k

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python8.4k601.4k1.6k

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.6k937241.1k

• PaddlePaddle/models

  Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

  Language:Python6.9k2702k2.9k

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  3.9k2409717

• 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

  3.4k453436

• higgsfield-ai/higgsfield

  Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

  Language:Jupyter Notebook3.3k781555

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python2.8k21196353

• seungeunrho/minimalRL

  Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

  Language:Python2.8k4939456

• google-deepmind/mctx

  Monte Carlo tree search in JAX

  Language:Python2.3k3047178

• openai/neural-mmo

  Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

  Language:Python1.6k19030263

• 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:Python1.4k13111277

• sudharsan13296/Hands-On-Reinforcement-Learning-With-Python

  Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

  Language:Jupyter Notebook832443324

• Johnson0722/CTR_Prediction

  CTR prediction using FM FFM and DeepFM

  Language:Python7442123299

• shariqiqbal2810/MAAC

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

  Language:Python649738169

• hijkzzz/pymarl2

  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

  Language:Python5831640113

• 2019ChenGong/Machine-Learning-Notes

  白板推导系列课程笔记 初版

  489105106

• devsisters/pointer-network-tensorflow

  TensorFlow implementation of "Pointer Networks"

  Language:Python4692415138

• Theohhhu/UPDeT

  Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight)

  Language:Python12531716

• tjuHaoXiaotian/pymarl3

  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.

  Language:Python1163910

• wouterkool/stochastic-beam-search

  Implementation of Stochastic Beam Search using Fairseq

  Language:Python95705

• wendelinboehmer/dcg

  Language:Python685123

• TJU-DRL-LAB/Multiagent-RL

  The official code releasement of publications in MARL field of TJU RL lab.

  Language:Python41716

• tjuHaoXiaotian/GASIL

  Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems

  Language:Python31226

• tjuHaoXiaotian/ICML-2020-MSBCB

  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

  Language:Python26318

• xtof-durr/makeSimple

  algorithmes classiques implémentés dans le cadre du cours modal programmation efficace à l'Ecole Polytechnique, Palaiseau

  Language:Java202214

• tjuHaoXiaotian/SC1

  Language:Python18545

• tjuHaoXiaotian/Qfamily_for_MatrixGame

  We provide a very simple implementation of the typical value decomposition methods for solving single state Matrix Games.

  Language:Python14200

• CNDOTA/NeurIPS22-ATM

  Language:Python10213

• google-research/unique-randomizer

  UniqueRandomizer is a data structure for sampling outputs of a randomized program, such as a neural sequence model, incrementally and without replacement.

  Language:Python8603