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Fuel in Markov Decision Processes (FiMDP): A Practical Approach to Consumption.

, , , , , and . FM, volume 13047 of Lecture Notes in Computer Science, page 640-656. Springer, (2021)

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Scalable Synthesis of Minimum-Information Linear-Gaussian Control by Distributed Optimization., , and . CDC, page 1750-1757. IEEE, (2020)Scenario-based verification of uncertain parametric MDPs., , , , , and . Int. J. Softw. Tools Technol. Transf., 24 (5): 803-819 (2022)Scenario-Based Verification of Uncertain MDPs., , , , and . TACAS (1), volume 12078 of Lecture Notes in Computer Science, page 287-305. Springer, (2020)Task-Guided IRL in POMDPs that Scales., , , , and . CoRR, (2023)Policy Synthesis for Switched Linear Systems With Markov Decision Process Switching., , , , and . IEEE Trans. Autom. Control., 68 (1): 532-539 (2023)Entropy Maximization for Markov Decision Processes Under Temporal Logic Constraints., , , , and . IEEE Trans. Autom. Control., 65 (4): 1552-1567 (2020)Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach., , , and . CoRR, (2021)Verifiable and Compositional Reinforcement Learning Systems., , , and . CoRR, (2021)Robust Finite-State Controllers for Uncertain POMDPs., , , , , and . AAAI, page 11792-11800. AAAI Press, (2021)Fuel in Markov Decision Processes (FiMDP): A Practical Approach to Consumption., , , , , and . FM, volume 13047 of Lecture Notes in Computer Science, page 640-656. Springer, (2021)