Context tree maximizing reinforcement learning

Nguyen, Phuong; Sunehag, Peter; Hutter, Marcus

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Context tree maximizing reinforcement learning

Date

2012

Authors

Nguyen, Phuong

Sunehag, Peter

Hutter, Marcus

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

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http://hdl.handle.net/1885/68805

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Open Access Research

Source

Proceedings of the National Conference on Artificial Intelligence

Type

Conference paper

Restricted until

2037-12-31

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01_Nguyen_Context_tree_maximizing_2012.pdf (501.87 KB)

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Context tree maximizing reinforcement learning

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