Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning

• Main Authors: Zhang, Hongming, Ren, Tongzheng, Xiao, Chenjun, Schuurmans, Dale, Dai, Bo
• Format: Journal Article
• Language: English
• Published: 20.11.2023
• Subjects: Computer Science - Artificial Intelligence; Computer Science - Learning; Statistics - Machine Learning

In most real-world reinforcement learning applications, state information is only partially observable, which breaks the Markov decision process assumption and leads to inferior performance for algorithms that conflate observations with state. Partially Observable Markov Decision Processes (POMDPs),...