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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

9 September 2011
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"

6 / 6 papers shown
Title
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo Search
Gerald Tesauro
Gregory R. Galperin
92
270
0
09 Jan 2025
Generalized Planning as Heuristic Search: A new planning search-space
  that leverages pointers over objects
Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects
Javier Segovia Aguas
Sergio Jiménez Celorrio
Anders Jonsson
22
3
0
26 Jan 2023
Learning General Optimal Policies with Graph Neural Networks: Expressive
  Power, Transparency, and Limits
Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits
Simon Ståhlberg
Blai Bonet
Hector Geffner
41
48
0
21 Sep 2021
Learning Features and Abstract Actions for Computing Generalized Plans
Learning Features and Abstract Actions for Computing Generalized Plans
Blai Bonet
Guillem Francès
Hector Geffner
19
59
0
17 Nov 2018
Features, Projections, and Representation Change for Generalized
  Planning
Features, Projections, and Representation Change for Generalized Planning
Blai Bonet
Hector Geffner
25
51
0
30 Jan 2018
Output Space Search for Structured Prediction
Output Space Search for Structured Prediction
J. Doppa
Alan Fern
Prasad Tadepalli
35
20
0
27 Jun 2012
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