Context tree maximizing reinforcement learning
Loading...
Date
Authors
Nguyen, Phuong
Sunehag, Peter
Hutter, Marcus
Journal Title
Journal ISSN
Volume Title
Publisher
AAAI Press
Abstract
Recent developments in reinforcement learning for non-Markovian problems witness a surge in history-based methods, among which we are particularly interested in two frameworks, ΦMDP and MC-AIXI-CTW. ΦMDP attempts to reduce the general RL problem, where
Description
Citation
Collections
Source
Proceedings of the National Conference on Artificial Intelligence
Type
Book Title
Entity type
Access Statement
License Rights
DOI
Restricted until
2037-12-31
Downloads
File
Description