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Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes

Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes

Alan Fern
R. Givan
S. Yoon
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Papers citing "Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes"

7 / 7 papers shown
Title
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo Search
Gerald Tesauro
Gregory R. Galperin
132
270
0
09 Jan 2025
Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes
Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes
T. Dean
R. Givan
Sonia M. Leach
83
140
0
06 Feb 2013
Inductive Policy Selection for First-Order MDPs
Inductive Policy Selection for First-Order MDPs
S. Yoon
Alan Fern
R. Givan
74
93
0
12 Dec 2012
Exploiting First-Order Regression in Inductive Policy Selection
Exploiting First-Order Regression in Inductive Policy Selection
Charles Gretton
Sylvie Thiébaux
65
67
0
11 Jul 2012
A Maximal Tractable Class of Soft Constraints
A Maximal Tractable Class of Soft Constraints
Dieter Fox
M. Cooper
P. Jeavons
Sebastian Thrun
58
815
0
30 Jun 2011
Efficient Solution Algorithms for Factored MDPs
Efficient Solution Algorithms for Factored MDPs
Carlos Guestrin
D. Koller
Ronald E. Parr
Shobha Venkataraman
125
538
0
09 Jun 2011
The FF Planning System: Fast Plan Generation Through Heuristic Search
The FF Planning System: Fast Plan Generation Through Heuristic Search
Jörg Hoffmann
Bernhard Nebel
86
2,357
0
03 Jun 2011