MDrW's repositories
awesome-deep-rl
For deep RL and the future of AI.
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
awesome-meta-learning-1
A curated list of Meta-Learning resources/papers.
awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
awesome-starcraftAI
A curated list of resources dedicated to StarCraft AI.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
libpku
贵校课程资料民间整理
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
pymarl
Beta code release for Python Multi-Agent Reinforcement Learning framework
pysc2-examples
StarCraft II - pysc2 Deep Reinforcement Learning Examples
pysc2-tutorial
Tutorials for building a PySC2 bot
ray
A system for parallel and distributed Python that unifies the ML ecosystem.
s2client-proto
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
smac
SMAC: The StarCraft Multi-Agent Challenge
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
unified-hrl
Unified Model-Free Hierarchical Reinforcement Learning Framework
v162
Proceedings of ICML 2022