--- _id: '34' abstract: - lang: eng text: Partially observable Markov decision processes (POMDPs) are widely used in probabilistic planning problems in which an agent interacts with an environment using noisy and imprecise sensors. We study a setting in which the sensors are only partially defined and the goal is to synthesize “weakest” additional sensors, such that in the resulting POMDP, there is a small-memory policy for the agent that almost-surely (with probability 1) satisfies a reachability objective. We show that the problem is NP-complete, and present a symbolic algorithm by encoding the problem into SAT instances. We illustrate trade-offs between the amount of memory of the policy and the number of additional sensors on a simple example. We have implemented our approach and consider three classical POMDP examples from the literature, and show that in all the examples the number of sensors can be significantly decreased (as compared to the existing solutions in the literature) without increasing the complexity of the policies. alternative_title: - ICAPS article_processing_charge: No author: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Martin full_name: Chemlík, Martin last_name: Chemlík - first_name: Ufuk full_name: Topcu, Ufuk last_name: Topcu citation: ama: 'Chatterjee K, Chemlík M, Topcu U. Sensor synthesis for POMDPs with reachability objectives. In: Vol 2018. AAAI Press; 2018:47-55.' apa: 'Chatterjee, K., Chemlík, M., & Topcu, U. (2018). Sensor synthesis for POMDPs with reachability objectives (Vol. 2018, pp. 47–55). Presented at the ICAPS: International Conference on Automated Planning and Scheduling, Delft, Netherlands: AAAI Press.' chicago: Chatterjee, Krishnendu, Martin Chemlík, and Ufuk Topcu. “Sensor Synthesis for POMDPs with Reachability Objectives,” 2018:47–55. AAAI Press, 2018. ieee: 'K. Chatterjee, M. Chemlík, and U. Topcu, “Sensor synthesis for POMDPs with reachability objectives,” presented at the ICAPS: International Conference on Automated Planning and Scheduling, Delft, Netherlands, 2018, vol. 2018, pp. 47–55.' ista: 'Chatterjee K, Chemlík M, Topcu U. 2018. Sensor synthesis for POMDPs with reachability objectives. ICAPS: International Conference on Automated Planning and Scheduling, ICAPS, vol. 2018, 47–55.' mla: Chatterjee, Krishnendu, et al. Sensor Synthesis for POMDPs with Reachability Objectives. Vol. 2018, AAAI Press, 2018, pp. 47–55. short: K. Chatterjee, M. Chemlík, U. Topcu, in:, AAAI Press, 2018, pp. 47–55. conference: end_date: 2018-06-29 location: Delft, Netherlands name: 'ICAPS: International Conference on Automated Planning and Scheduling' start_date: 2018-06-24 date_created: 2018-12-11T11:44:16Z date_published: 2018-06-01T00:00:00Z date_updated: 2023-09-19T14:44:14Z day: '01' department: - _id: KrCh ec_funded: 1 external_id: arxiv: - '1710.00675' isi: - '000492986200006' intvolume: ' 2018' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1710.00675 month: '06' oa: 1 oa_version: Preprint page: 47 - 55 project: - _id: 2584A770-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P 23499-N23 name: Modern Graph Algorithmic Techniques in Formal Verification - _id: 2581B60A-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '279307' name: 'Quantitative Graph Games: Theory and Applications' - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 2587B514-B435-11E9-9278-68D0E5697425 name: Microsoft Research Faculty Fellowship publication_status: published publisher: AAAI Press publist_id: '8021' quality_controlled: '1' scopus_import: '1' status: public title: Sensor synthesis for POMDPs with reachability objectives type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 2018 year: '2018' ...