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AI Paper Research

AI 논문 조사 및 정리

Foundations
강화학습Reinforcement Learning
Mastering Diverse Domains through World ...
Decision Transformer: Reinforcement Lear...
Mastering Atari, Go, Chess and Shogi by ...Grandmaster level in StarCraft II using ...
Soft Actor-Critic: Off-Policy Maximum En...
Proximal Policy Optimization AlgorithmsMastering Chess and Shogi by Self-Play w...
Mastering the game of Go with deep neura...Asynchronous Methods for Deep Reinforcem...
Playing Atari with Deep Reinforcement Le...
홈/강화학습/2018

강화학습 — 2018

1편의 논문

ICML 20188,000+

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

소프트 액터-크리틱: 확률적 액터를 이용한 오프폴리시 최대 엔트로피 딥 강화학습

Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel et al. (2018)

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