강화학습 논문 정리 14편 : DexMV : Imitation Learning for Dexterous Manipulation from Human Videos (ECCV 2022)
작성자 : 한양대학원 인공지능융합학과 유승환 박사과정 (CAI LAB) Keywords : Dexterous manipulation, Learning from human demonstrations, Reinforcement Learning 논문 링크 : https://link.springer.com/chapter/10.1007/978-3-031-19842-7_33 홈페이지 링크 : https://yzqin.github.io/dexmv/ DexMV: Imitation Learning for Dexterous Manipulation from Human Videos yzqin.github.io 영상 링크 : https://www.youtube.com/watch?v=scN4-KPhJe8 깃헙 링크 : https..
강화학습 논문 정리 13편 : Skill Preferences : Learning to Extract and Execute Robot Skills from Human Feedback 논문 리뷰 (CoRL 2021)
작성자 : 한양대학원 인공지능융합학과 유승환 박사과정 (CAI LAB) Keywords : Reinforcement Learning, Skill Extraction, Human Preferences 논문 링크 : https://proceedings.mlr.press/v164/wang22g.html Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback A promising approach to solving challenging long-horizon tasks has been to extract behavior priors (skills) by fitting generative models to large..
강화학습 논문 정리 12편 : An Optimistic Perspective on Offline Reinforcement Learning 논문 리뷰 (ICML 2020)
작성자 : 한양대학원 인공지능융합학과 유승환 박사과정 (CAI LAB) 논문 링크 : https://proceedings.mlr.press/v119/agarwal20c.html An Optimistic Perspective on Offline Reinforcement Learning Off-policy reinforcement learning (RL) using a fixed offline dataset of logged interactions is an important consideration in real world applications. This paper studies offline RL using the DQN rep... proceedings.mlr.press 홈페이지 링크 : https:..