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On Using Admissible Bounds for Learning Forward Search Heuristics

On Using Admissible Bounds for Learning Forward Search Heuristics

23 August 2023
Carlos Núnez-Molina
Masataro Asai
Pablo Mesejo
Juan Fernández-Olivares
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Papers citing "On Using Admissible Bounds for Learning Forward Search Heuristics"

2 / 2 papers shown
Title
Reinforcement Learning for Classical Planning: Viewing Heuristics as
  Dense Reward Generators
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
Clement Gehring
Masataro Asai
Rohan Chitnis
Tom Silver
L. Kaelbling
Shirin Sohrabi
Michael Katz
OffRL
45
37
0
30 Sep 2021
Minimizing Safety Interference for Safe and Comfortable Automated
  Driving with Distributional Reinforcement Learning
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Danial Kamran
Tizian Engelgeh
M. Busch
Johannes Fischer
Christoph Stiller
OffRL
168
23
0
15 Jul 2021
1