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Identification of Unexpected Decisions in Partially Observable
  Monte-Carlo Planning: a Rule-Based Approach
v1v2 (latest)

Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach

Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
23 December 2020
Giulio Mazzi
A. Castellini
Alessandro Farinelli
ArXiv (abs)PDFHTML

Papers citing "Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach"

3 / 3 papers shown
Learning Logic Specifications for Soft Policy Guidance in POMCP
Learning Logic Specifications for Soft Policy Guidance in POMCPAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Giulio Mazzi
Daniele Meli
A. Castellini
Alessandro Farinelli
292
12
0
16 Mar 2023
Unsupervised Active Visual Search with Monte Carlo planning under
  Uncertain Detections
Unsupervised Active Visual Search with Monte Carlo planning under Uncertain DetectionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Francesco Taioli
Francesco Giuliari
Yiming Wang
Riccardo Berra
A. Castellini
Alessio Del Bue
Alessandro Farinelli
Marco Cristani
Francesco Setti
232
4
0
06 Mar 2023
Rule-based Shielding for Partially Observable Monte-Carlo Planning
Rule-based Shielding for Partially Observable Monte-Carlo PlanningInternational Conference on Automated Planning and Scheduling (ICAPS), 2021
Giulio Mazzi
A. Castellini
Alessandro Farinelli
129
14
0
28 Apr 2021
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