Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments. - Wilka Carvalho; Anthony Liang; Kimin Lee; Sungryull Sohn; Honglak Lee; Richard L. Lewis; Satinder Singh 001 (CoRR, 2020)

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. - Wilka Carvalho; Anthony Liang; Kimin Lee; Sungryull Sohn; Honglak Lee; Richard L. Lewis; Satinder Singh 001 (IJCAI, 2021)

ViSaRL: Visual Reinforcement Learning Guided by Human Saliency. - Anthony Liang; Jesse Thomason; Erdem Biyik (IROS, 2024)

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning. - Anthony Liang; Guy Tennenholtz; Chih-Wei Hsu; Yinlam Chow; Erdem Biyik; Craig Boutilier (NeurIPS, 2024)

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations. - Anthony Liang; Pavel Czempin; Matthew Hong 002; Yutai Zhou; Erdem Biyik; Stephen Tu (CoRR, 2025)

HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval. - Matthew Hong 002; Anthony Liang; Kevin Kim; Harshitha Rajaprakash; Jesse Thomason; Erdem Biyik; Jesse Zhang (CoRR, 2025)