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20242026
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cs.AI2026

Solving Robust POMDPs with Omega-regular Objectives via Partially Observable Stochastic Games

Durgam Latha, Dion Reji, S. Akshay +3

Robust POMDPs (RPOMDPs) generalize classical POMDPs to the setting where exact transition probabilities are not known -- rather, they are only known to belong to some uncertainty s…

cs.AI2026

Entropy Objectives in Markov Decision Processes

S. Akshay, Raghav Goyal, Aditya Neeraje +1

We consider the problem of synthesizing control policies that enforce a concentration property on the state distributions of a stochastic system. We present a formalization of this…

cs.AI2026

Quantifying Sensitivity for Tree Ensembles: A symbolic and compositional approach

Ajinkya Naik, Chaitanya Garg, S. Akshay +2

Decision tree ensembles (DTE) are a popular model for a wide range of AI classification tasks, used in multiple safety critical domains, and hence verifying properties on these mod…

cs.PL2026

Program Synthesis for Non-Linear Real Arithmetic: Going Beyond Realizability

S. Akshay, Supratik Chakraborty, R. Govind +1

We study the problem of synthesizing programs from nonlinear real arithmetic (NRA) specifications. Existing techniques, such as syntax-guided synthesis (SyGuS), fail to synthesize…

cs.LO2026

Knowledge Compilation for Quantification in Alternating Automata

S. Akshay, Alfredo Cantarella, Supratik Chakraborty +2

We present a knowledge compilation approach for existential and universal quantification in alternating automata. Knowledge compilation transforms formulas into normal forms with s…