- New
-
Topics
- All Categories
- Metaphysics and Epistemology
- Value Theory
- Science, Logic, and Mathematics
- Science, Logic, and Mathematics
- Logic and Philosophy of Logic
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Mathematics
- Philosophy of Physical Science
- Philosophy of Social Science
- Philosophy of Probability
- General Philosophy of Science
- Philosophy of Science, Misc
- History of Western Philosophy
- Philosophical Traditions
- Philosophy, Misc
- Other Academic Areas
- Journals
- Submit material
- More
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
Artificial Intelligence 112 (1-2):181-211 (1999)
Abstract
This article has no associated abstract. (fix it)Author's Profile
Other Versions
No versions found
My notes
Similar books and articles
Discovering hidden structure in factored MDPs.Andrey Kolobov, Mausam & Daniel S. Weld - 2012 - Artificial Intelligence 189 (C):19-47.
Decentralized MDPs with sparse interactions.Francisco S. Melo & Manuela Veloso - 2011 - Artificial Intelligence 175 (11):1757-1789.
Practical solution techniques for first-order MDPs.Scott Sanner & Craig Boutilier - 2009 - Artificial Intelligence 173 (5-6):748-788.
Efficient solutions to factored MDPs with imprecise transition probabilities.Karina Valdivia Delgado, Scott Sanner & Leliane Nunes de Barros - 2011 - Artificial Intelligence 175 (9-10):1498-1527.
Solving factored MDPs using non-homogeneous partitions.Kee-Eung Kim & Thomas Dean - 2003 - Artificial Intelligence 147 (1-2):225-251.
Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains.Luis C. Cobo, Kaushik Subramanian, Charles L. Isbell, Aaron D. Lanterman & Andrea L. Thomaz - 2014 - Artificial Intelligence 216 (C):103-128.
A framework for knowledge-based temporal abstraction.Yuval Shahar - 1997 - Artificial Intelligence 90 (1-2):79-133.
経験に固執しない Profit Sharing 法.Ueno Atsushi Uemura Wataru - 2006 - Transactions of the Japanese Society for Artificial Intelligence 21:81-93.
Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance.W. Bradley Knox & Peter Stone - 2015 - Artificial Intelligence 225 (C):24-50.
MDPs: toward an institutional strategy for entity regulation.Elizabeth Chambliss - 2001 - Legal Ethics 4 (1):45-65.
Analytics
Added to PP
2020-12-22
Downloads
17 (#1,036,414)
6 months
12 (#465,004)
2020-12-22
Downloads
17 (#1,036,414)
6 months
12 (#465,004)
Historical graph of downloads
Author's Profile
Citations of this work
Event‐Predictive Cognition: A Root for Conceptual Human Thought.Martin V. Butz, Asya Achimova, David Bilkey & Alistair Knott - 2021 - Topics in Cognitive Science 13 (1):10-24.
Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective.Matthew M. Botvinick, Yael Niv & Andrew C. Barto - 2009 - Cognition 113 (3):262-280.
Event‐Predictive Cognition: A Root for Conceptual Human Thought.Martin V. Butz, Asya Achimova, David Bilkey & Alistair Knott - 2021 - Topics in Cognitive Science 13 (1):10-24.
Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective.Andrew C. Barto Matthew M. Botvinick, Yael Niv - 2009 - Cognition 113 (3):262.
Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective.Matthew M. Botvinick, Yael Niv & Andew G. Barto - 2009 - Cognition 113 (3):262-280.
PhilPapers logo by Andrea Andrews and Meghan Driscoll.
This site uses cookies and Google Analytics (see our terms & conditions for details regarding the privacy implications). Use of this site is subject to terms & conditions.
All rights reserved by The PhilPapers Foundation
Server: philpapers-web-799b6484c6-tcccj uwo