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Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
30 September 2021
Clement Gehring
Masataro Asai
Rohan Chitnis
Tom Silver
L. Kaelbling
Shirin Sohrabi
Michael Katz
OffRL
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Papers citing
"Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators"
7 / 7 papers shown
Title
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Minori Narita
Ryo Kuroiwa
J. Christopher Beck
46
0
0
20 Mar 2025
Learning Domain-Independent Heuristics for Grounded and Lifted Planning
Dillon Z. Chen
Sylvie Thiébaux
Felipe W. Trevizan
AI4CE
34
15
0
18 Dec 2023
Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning
Stephen Wissow
Masataro Asai
24
2
0
16 May 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
Carlos Núnez-Molina
Pablo Mesejo
Juan Fernández-Olivares
30
3
0
20 Apr 2023
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
R. Bettker
P. Minini
André Grahl Pereira
M. Ritt
27
1
0
23 Nov 2022
Exploration Policies for On-the-Fly Controller Synthesis: A Reinforcement Learning Approach
Tomás Delgado
Marco Sánchez Sorondo
V. Braberman
Sebastián Uchitel
OffRL
24
1
0
07 Oct 2022
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning
Zhi-Xuan Tan
J. Tenenbaum
Vikash K. Mansinghka
25
0
0
05 Aug 2022
1