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Northwest A&F University
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【2021年新鲜出炉】K8s(Kubernetes)的工程师资料合辑,书籍推荐,面试题,精选文章,开源项目,PPT,视频,大厂资料
The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
An extension of the PyMARL codebase that includes additional algorithms and environment support
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Python implementation of DDQN multi-UAV data harvesting
VIP cheatsheets for Stanford's CS 229 Machine Learning
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
A course in reinforcement learning in the wild
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Paper list of multi-agent reinforcement learning (MARL)
wubmu / MARL-Papers
Forked from LantaoYu/MARL-PapersPaper list of multi-agent reinforcement learning (MARL)
wubmu / how-to-research
Forked from jwwthu/how-to-researchThis is the repository for how to research.
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
AI education materials for Chinese students, teachers and IT professionals.
Implementation of benchmark RL algorithms
Repository with tutorials and applications of Private-AI algorithms with PySyft
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
A resource for learning about Machine learning & Deep Learning