Anthony Liang

20212022202320243 3 11 6

Jesse ThomasonAssistant Professor, University of Southern Californiausc.edu의 이메일 확인됨
Ishika SinghCS PhD student, USCusc.edu의 이메일 확인됨
Wilka CarvalhoHarvardg.harvard.edu의 이메일 확인됨
Karl PertschUC Berkeley, Stanford Universityberkeley.edu의 이메일 확인됨
Erdem BıyıkAssistant Professor, University of Southern Californiausc.edu의 이메일 확인됨
Craig BoutilierPrincipal Scientist, Googlegoogle.com의 이메일 확인됨
Guy TennenholtzResearch Scientist, Google Researchgoogle.com의 이메일 확인됨
Yinlam ChowResearch Scientist, Google Researchgoogle.com의 이메일 확인됨

Anthony Liang

usc.edu의 이메일 확인됨 - 홈페이지


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Reinforcement learning for sparse-reward object-interaction tasks in a first-person simulated 3d environment W Carvalho, A Liang, K Lee, S Sohn, H Lee, RL Lewis, S Singh arXiv preprint arXiv:2010.15195, 2020	12	2020
Transformer adapters for robot learning A Liang, I Singh, K Pertsch, J Thomason CoRL 2022 Workshop on Pre-training Robot Learning, 2022	7	2022
Visarl: Visual reinforcement learning guided by human saliency A Liang, J Thomason, E Bıyık arXiv preprint arXiv:2403.10940, 2024	2	2024
Self-Supervised 3D Representation Learning for Robotics I Singh, A Liang, M Shridhar, J Thomason ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023	2	2023
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning A Liang, G Tennenholtz, C Hsu, Y Chow, E Bıyık, C Boutilier arXiv preprint arXiv:2402.15957, 2024		2024
ROMA: A Relational, Object-Model Learning Agent for Sample-Efficient Reinforcement Learning W Carvalho, A Liang, K Lee, S Sohn, H Lee, RL Lewis, S Singh
Drift-Aware Predictive Coding for Adaptation in Changing Environments H Wang, Z Bian, R Guo, A Liang, M Yang

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