AlphaStar

Discussion on AlphaStar, the first agent that achieves Grandmaster level in the full game of StarCraft II

OpenAI Five

Discussion on OpenAI Five, an agent that achieves super-human performance in Dota 2

Go-Explore

Discussion on Go-Explore, a family of algorithms designed for hard-exploration games

GAIL — Generative Adversarial Imitation Learning

A concise theoretical analysis of GAIL

FTW — For The Win

Discussion on an agent, namely For The Win(FTW), that achieves human-level performance in a popular 3D team-based multiplayer first-person video game.

MuZero

Discussion on MuZero, a successor of AlphaZero, that not only masters chess games but also achieves state-of-the-art performance on Atari games

AlphaZero

Discussion on AlphaZero, an agent that achieves super-human performance in chess, shogi and Go

MAPPO

Discussion on Multi-Agent PPO, which includes a few tricks when applying PPO to multi-agent environments

QMIX and Some Tricks

Discussion on QMIX and some tricks on QMIX.

NCC — Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Discussion on NCC, a cooperative MARL method that takes into account neighborhood cognitive consistency.