3 Publications

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[3]
2026 | Published | Conference Paper | IST-REx-ID: 22717 | OA
L. J. Brice, T. A. Henzinger, A. Montaseri, A. Shafiee, and K. S. Thejaswini, “Randomise alone, reach as a team,” in 38th International Conference on Computer Aided Verification, Lisbon, Portugal, 2026, vol. 16682, pp. 215–236.
[Published Version] View | Files available | DOI | arXiv
 
[2]
2026 | Published | Conference Paper | IST-REx-ID: 21717 | OA
A. Asadi, K. Chatterjee, E. Goharshady, M. Karrabi, and A. Shafiee, “Qualitative analysis of ω-regular objectives on robust MDPs,” in Proceedings of the 40th AAAI Conference on Artificial Intelligence, Singapore, Singapore, 2026, vol. 40, no. 43, pp. 36137–36145.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2025 | Published | Conference Paper | IST-REx-ID: 20297 | OA
A. Asadi, K. Chatterjee, R. J. Saona Urmeneta, and A. Shafiee, “Limit-sure reachability for small memory policies in POMDPs is NP-complete,” in The 41st Conference on Uncertainty in Artificial Intelligence, Rio de Janeiro, Brazil, 2025, vol. 286, pp. 238–247.
[Published Version] View | Files available | arXiv
 

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3 Publications

Mark all

[3]
2026 | Published | Conference Paper | IST-REx-ID: 22717 | OA
L. J. Brice, T. A. Henzinger, A. Montaseri, A. Shafiee, and K. S. Thejaswini, “Randomise alone, reach as a team,” in 38th International Conference on Computer Aided Verification, Lisbon, Portugal, 2026, vol. 16682, pp. 215–236.
[Published Version] View | Files available | DOI | arXiv
 
[2]
2026 | Published | Conference Paper | IST-REx-ID: 21717 | OA
A. Asadi, K. Chatterjee, E. Goharshady, M. Karrabi, and A. Shafiee, “Qualitative analysis of ω-regular objectives on robust MDPs,” in Proceedings of the 40th AAAI Conference on Artificial Intelligence, Singapore, Singapore, 2026, vol. 40, no. 43, pp. 36137–36145.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2025 | Published | Conference Paper | IST-REx-ID: 20297 | OA
A. Asadi, K. Chatterjee, R. J. Saona Urmeneta, and A. Shafiee, “Limit-sure reachability for small memory policies in POMDPs is NP-complete,” in The 41st Conference on Uncertainty in Artificial Intelligence, Rio de Janeiro, Brazil, 2025, vol. 286, pp. 238–247.
[Published Version] View | Files available | arXiv
 

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Citation Style: IEEE

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