Model-based reinforcement learning for approximate optimal regulation von Kamalapurkar, Rushikesh, Walters, Patrick, Dixon, Warren E.

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Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators von Kamalapurkar, Rushikesh, Reish, Benjamin, Chowdhary, Girish, Dixon, Warren E.

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Integral concurrent learning: Adaptive control with parameter convergence using finite excitation von Parikh, Anup, Kamalapurkar, Rushikesh, Dixon, Warren E.

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Nonuniqueness and convergence to equivalent solutions in observer-based inverse reinforcement learning von Town, Jared, Morrison, Zachary, Kamalapurkar, Rushikesh

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A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems von Bhasin, S., Kamalapurkar, R., Johnson, M., Vamvoudakis, K.G., Lewis, F.L., Dixon, W.E.

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Pilot Performance Modeling via Observer-Based Inverse Reinforcement Learning von Town, Jared, Morrison, Zachary, Kamalapurkar, Rushikesh

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Unknown time-varying input delay compensation for uncertain nonlinear systems von Obuz, Serhat, Klotz, Justin R., Kamalapurkar, Rushikesh, Dixon, Warren

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LaSalle-Yoshizawa Corollaries for Nonsmooth Systems von Fischer, Nicholas, Kamalapurkar, Rushikesh, Dixon, Warren E.

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Efficient model-based reinforcement learning for approximate online optimal control von Kamalapurkar, Rushikesh, Rosenfeld, Joel A., Dixon, Warren E.

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Singular Dynamic Mode Decomposition von Rosenfeld, Joel A., Kamalapurkar, Rushikesh

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Reinforcement Learning for Optimal Feedback Control: A Lyapunov-Based Approach von Kamalapurkar, Rushikesh

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Dynamic Mode Decomposition With Control Liouville Operators von Rosenfeld, Joel A., Kamalapurkar, Rushikesh

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Concurrent Learning-based Approximate Feedback-Nash Equilibrium Solution of N-player Nonzero-sum Differential Games von Kamalapurkar, Rushikesh, Klotz, Justin R., Dixon, Warren E.

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Approximate optimal trajectory tracking for continuous-time nonlinear systems von Kamalapurkar, Rushikesh, Dinh, Huyen, Bhasin, Shubhendu, Dixon, Warren E.

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Model-Based Reinforcement Learning for Infinite-Horizon Approximate Optimal Tracking von Kamalapurkar, Rushikesh, Andrews, Lindsey, Walters, Patrick, Dixon, Warren E.

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Model-based inverse reinforcement learning for deterministic systems von Self, Ryan, Abudia, Moad, Mahmud, S.M. Nahid, Kamalapurkar, Rushikesh

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Investigating critical model input features for unitary air conditioning equipment von Yousaf, Shahzad, Bradshaw, Craig R., Kamalapurkar, Rushikesh, San, Omer

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Dynamic Mode Decomposition for Continuous Time Systems with the Liouville Operator von Rosenfeld, Joel A., Kamalapurkar, Rushikesh, Gruss, L. Forest, Johnson, Taylor T.

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A gray-box model for unitary air conditioners developed with symbolic regression von Yousaf, Shahzad, Bradshaw, Craig R., Kamalapurkar, Rushikesh, San, Omer

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Time-Varying Input and State Delay Compensation for Uncertain Nonlinear Systems von Kamalapurkar, Rushikesh, Fischer, Nicholas, Obuz, Serhat, Dixon, Warren E.

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