Offline RL with discrete proxy representations for generalizability in POMDPs

Offline Reinforcement Learning (RL) has demonstrated promising results in various applications by learning policies from previously collected datasets, reducing the need for online exploration and interactions. However, real-world scenarios usually involve partial observability, which brings crucial...

Full description

Saved in:
Bibliographic Details
Main Authors: GU, Pengjie, CAI, Xinyu, XING, Dong, WANG, Xinrun, ZHAO, Mengchen, AN, Bo
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/9048
https://ink.library.smu.edu.sg/context/sis_research/article/10051/viewcontent/Offline_rl_with_discrete_proxy_av.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English