An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty
Dealing with aleatoric uncertainty is key in many domains involving sequential decision
making, eg, planning in AI, network protocols, and symbolic program synthesis. This paper …
making, eg, planning in AI, network protocols, and symbolic program synthesis. This paper …
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent
P Stocco, S Chundi, A Jamgochian… - Proceedings of the …, 2024 - ojs.aaai.org
Abstract Lagrangian-guided Monte Carlo tree search with global dual ascent has been
applied to solve large constrained partially observable Markov decision processes …
applied to solve large constrained partially observable Markov decision processes …
Anytime Probabilistically Constrained Provably Convergent Online Belief Space Planning
Taking into account future risk is essential for an autonomously operating robot to find online
not only the best but also a safe action to execute. In this paper, we build upon the recently …
not only the best but also a safe action to execute. In this paper, we build upon the recently …