Proceedings of ICML 2022

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Everything about Transfer Learning and Domain Adaptation--迁移学习

For deep RL and the future of AI.

Must-read papers on graph neural networks (GNN)

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

贵校课程资料民间整理

A system for parallel and distributed Python that unifies the ML ecosystem.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

SMAC: The StarCraft Multi-Agent Challenge

A curated list of Meta-Learning resources/papers.

Unified Model-Free Hierarchical Reinforcement Learning Framework

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Beta code release for Python Multi-Agent Reinforcement Learning framework

StarCraft II Learning Environment

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Tutorials for building a PySC2 bot

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

A curated list of resources dedicated to StarCraft AI.

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning