A correctness result for synthesizing plans with loops in stochastic domains-Reference-Cited by-同舟云学术

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A correctness result for synthesizing plans with loops in stochastic domains

Published:2020-04 Issue: Volume:119 Page:92-107
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Treszkai Laszlo,Belle Vaishak

Funder

Royal Society

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference35 articles.

1. Solving POMDPs using quadratically constrained linear programs;Amato,2007

2. Foundations for generalized planning in unbounded stochastic domains;Belle,2016

3. Strong planning under partial observability;Bertoli;Artif. Intell.,2006

4. Planning with incomplete information as heuristic search in belief space;Bonet,2000

5. Labeled rtdp: improving the convergence of real-time dynamic programming;Bonet,2003

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1. Logic + probabilistic programming + causal laws;Royal Society Open Science;2023-09

2. Analyzing generalized planning under nondeterminism;Artificial Intelligence;2022-06

3. Answer Set Planning: A Survey;Theory and Practice of Logic Programming;2022-04-01

4. Special Issue on Probabilistic Logic Programming (PLP 2018);International Journal of Approximate Reasoning;2021-05

5. Logic, Probability and Action: A Situation Calculus Perspective;Lecture Notes in Computer Science;2020

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