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Near-Optimal Control of Nonlinear Systems With Hybrid Inputs and Dwell-Time Constraints.

, , , and . IEEE Control. Syst. Lett., (2023)

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Multiagent Reinforcement Learning with Adaptive State Focus., , and . BNAIC, page 35-42. Koninklijke Vlaamse Academie van Belie voor Wetenschappen en Kunsten, (2005)Optimistic planning for Markov decision processes., and . AISTATS, volume 22 of JMLR Proceedings, page 182-189. JMLR.org, (2012)Fuzzy Approximation for Convergent Model-Based Reinforcement Learning., , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Multi-Agent Reinforcement Learning: A Survey., , and . ICARCV, page 1-6. IEEE, (2006)Vision and Control for UAVs: A Survey of General Methods and of Inexpensive Platforms for Infrastructure Inspection., and . Sensors, 15 (7): 14887-14916 (2015)3D exploration-based search for multiple targets using a UAV., , and . CoRR, (2023)Learning control for transmission and navigation with a mobile robot under unknown communication rates., , , , , , and . CoRR, (2020)Underwater Robot Pose Estimation Using Acoustic Methods and Intermittent Position Measurements at the Surface., , and . CoRR, (2023)Optimistic planning with an adaptive number of action switches for near-optimal nonlinear control., , , and . Eng. Appl. Artif. Intell., (2018)Underwater Robot Pose Estimation Using Acoustic Methods and Intermittent Position Measurements at the Surface., , and . AQTR, page 1-6. IEEE, (2022)