Risk-aware shielding of Partially Observable Monte Carlo Planning policies-Reference-Cited by-同舟云学术

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Risk-aware shielding of Partially Observable Monte Carlo Planning policies

Published:2023-11 Issue: Volume:324 Page:103987
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Mazzi Giulio^ORCID,Castellini Alberto,Farinelli Alessandro

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference74 articles.

1. Incremental pruning: a simple, fast, exact method for partially observable Markov decision processes;Cassandra,1997

2. The complexity of Markov decision processes;Papadimitriou;Math. Oper. Res.,1987

3. Monte-Carlo planning in large POMDPs;Silver,2010

4. Bandit based Monte-Carlo planning;Kocsis,2006

5. DARPA's explainable artificial intelligence (XAI) program;Gunning;AI Mag.,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Online model adaptation in Monte Carlo tree search planning;Optimization and Engineering;2024-06-18

2. Safe POMDP Online Planning via Shielding;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Reinforcement learning applications in environmental sustainability: a review;Artificial Intelligence Review;2024-03-12

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