Biblio
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Submitted. Online Learning for Markov Decision Processes Applied to Multi-Agent Systems. Conference on Decision and Control (CDC).
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Submitted. Markov Decision Processes with Sequentially-Observed Transitions. Automatica.
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Submitted. Robust Metropolis-Hastings Algorithm for Safe Reversible Markov Chain Synthesis. System and Control Letters.
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2018. Modular Reinforcement Learning with Discounting. In preparation for submission to eLife.
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2018. Visual Attention Guided Deep Imitation Learning. Under review by AAAI 2018.
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2018. Probabilistic Model Checking of Partially Controlled Multi-agent Systems. Under review by AAAI 2018.
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2017. Modeling Multi-Objective Behavior through Modular Inverse Reinforcement Learning with Discount Factors. Abstract in Journal of Vision.
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2017. Attention Guided Deep Imitation Learning. Cognitive Computational Neuroscience (CCN).
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Submitted. Controlled Markov Processes with Safety State Constraints. {IEEE} Transactions in Automatic Control.
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Submitted. Safe Markov Chains for Density Control of ON/OFF Agents with Observed Transitions. {IEEE} Transactions in Automatic Control.
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2016. Distributed Averaging with Quantized Communication over Dynamic Graphs. Conference on Decision and Control (CDC). :4827–4832.
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2016. The Discrete-Time Altafini Model of Opinion Dynamics with Communication Delays and Quantization. Conference on Decision and Control (CDC). :3572–3577.
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2017. Necessary and sufficient conditions for distributed averaging with state constraints. American Control Conference (ACC). :2008–2013.
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2017. Velocity Field Generation for Density Control of Swarms using Heat Equation and Smooth Kernels. {IFAC} World Congress. :9815–9821.