yinjiangjin's repositories
cmarl_ame
Implementation of ICLR'23 publication "Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication".
Decision_Tree
在西瓜数据集2.0上基于信息增益准则生成决策树
DeepRL
【深度强化学习社区】一个资料与学习内容最全的服务平台
HiT-MAC
This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.
marl_demo
demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG and NCC-MARL.
multiagent_mujoco
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
NDQ
Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
netron
Visualizer for neural network, deep learning and machine learning models
open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
PIC
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Reinforcement-Learning-in-Robotics
This is a private learning repository for reinforcement learning techniques used in robotics.
RF-WISE
RF-Wise is the first work to collect the fine-grained CSI-like sensing features from the RFID signal.
ShadowSocksShare
Python爬虫/Flask网站/免费ShadowSocks帐号/ssr订阅/json API
sllurp
Pure-Python client for LLRP-based RFID readers
SQDDPG
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
StarCraft
Implementations of QMIX, VDN and COMA on SMAC, corresponding papers are "QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning", "Value-Decomposition Networks For Cooperative Multi-Agent Learning", and "Counterfactual Multi-Agent Policy Gradients".
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists
tfpyth
Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
TMC
Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"