Search Results - "Nivison, Scott"

Safe adaptive output‐feedback optimal control of a class of linear systems by Mahmud, S M Nahid, Abudia, Moad, Nivison, Scott A., Bell, Zachary I., Kamalapurkar, Rushikesh

“…The objective of this research is to enable safety‐critical systems to simultaneously learn and execute optimal control policies in a safe manner to achieve…”
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Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties by Mahmud, S M Nahid, Nivison, Scott A, Bell, Zachary I, Kamalapurkar, Rushikesh

“…Reinforcement learning has been established over the past decade as an effective tool to find optimal control policies for dynamical systems, with recent focus…”
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Passivity-Based Target Tracking Robust to Intermittent Measurements by McCourt, Michael J., Bell, Zachary I., Nivison, Scott A.

“…A passivity-based switched systems analysis of an estimator-predictor framework is presented for mobile target tracking. Measurements of the target are…”
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A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties by Mahmud, S M Nahid, Hareland, Katrine, Nivison, Scott A, Bell, Zachary I., Kamalapurkar, Rushikesh

“…Safety awareness is critical in reinforcement learning when task restarts are not available and/or when the system is safety-critical. Safety requirements are…”
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Deep Neural Network-Based Approximate Optimal Tracking for Unknown Nonlinear Systems by Greene, Max L., Bell, Zachary I., Nivison, Scott, Dixon, Warren E.

“…The infinite horizon optimal tracking problem is solved for a deterministic, control-affine, unknown nonlinear dynamical system. A deep neural network (DNN) is…”
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Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking by Greene, Max L., Bell, Zachary I., Nivison, Scott A., How, Jonathan P., Dixon, Warren E.

“…This paper provides an approximate online adaptive solution to the infinite-horizon optimal tracking problem for a set of agents with homogeneous dynamics and…”
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Sparse Learning-Based Approximate Dynamic Programming With Barrier Constraints by Greene, Max L., Deptula, Patryk, Nivison, Scott, Dixon, Warren E.

“…This letter provides an approximate online adaptive solution to the infinite-horizon optimal control problem for control-affine continuous-time nonlinear…”
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Approximate Optimal Trajectory Tracking With Sparse Bellman Error Extrapolation by Greene, Max L., Deptula, Patryk, Nivison, Scott, Dixon, Warren E.

“…This article provides an approximate online adaptive solution to the infinite-horizon optimal tracking problem for control-affine continuous-time nonlinear…”
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Development of a robust deep recurrent neural network controller for flight applications by Nivison, Scott A., Khargonekar, Pramod P.

“…Inspired by research in the deep learning community, we demonstrate the effectiveness of optimizing a deep recurrent neural network with gated recurrent unit…”
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Target Tracking Subject to Intermittent Measurements Using Attention Deep Neural Networks by Bell, Zachary I., Sun, Runhan, Volle, Kyle, Ganesh, Prashant, Nivison, Scott A., Dixon, Warren E.

“…This letter presents a novel estimator and predictor framework for target tracking applications that estimates the pose of a mobile target that intermittently…”
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Zone-Based Guidance Strategy with Integrated Target Selection for Swarm Engagements by Benvenuti, Alexander, Nivison, Scott

“…This study proposes an integrated guidance and task assignment methodology to intelligently and smoothly transition from the mid-course to the terminal phase…”
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Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications by Nivison, Scott A

“…The task of hypersonic vehicle (HSV) flight control is both intriguing and complicated. HSV control requires dealing with interactions between structural,…”
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Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal Mapping by Sivakumar, Kavinayan P, Zhang, Yan, Bell, Zachary, Nivison, Scott, Zavlanos, Michael M

“…In this paper, we consider a transfer reinforcement learning problem involving agents with different action spaces. Specifically, for any new unseen task, the…”
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Inverse Reinforcement Learning from Non-Stationary Learning Agents by Sivakumar, Kavinayan P, Shen, Yi, Bell, Zachary, Nivison, Scott, Chen, Boyuan, Zavlanos, Michael M

“…In this paper, we study an inverse reinforcement learning problem that involves learning the reward function of a learning agent using trajectory data…”
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Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers by Muthirayan, Deepan, Nivison, Scott, Khargonekar, Pramod P

“…We introduced a {\it working memory} augmented adaptive controller in our recent work. The controller uses attention to read from and write to the working…”
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Development of a Robust, Sparsely-Activated, and Deep Recurrent Neural Network Controller for Flight Applications by Nivison, Scott A., Khargonekar, Pramod P.

“…Inspired by recent deep learning control research, we develop a sparse and deep neural network architecture and training methodology in order to control a…”
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A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games by Wang, Zifan, Shen, Yi, Bell, Zachary I, Nivison, Scott, Zavlanos, Michael M, Johansson, Karl H

“…We consider risk-averse learning in repeated unknown games where the goal of the agents is to minimize their individual risk of incurring significantly high…”
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Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning by Mahmud, S M Nahid, Abudia, Moad, Nivison, Scott A, Bell, Zachary I, Kamalapurkar, Rushikesh

“…The objective of this research is to enable safety-critical systems to simultaneously learn and execute optimal control policies in a safe manner to achieve…”
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Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers by Muthirayan, Deepan, Nivison, Scott, Khargonekar, Pramod P.

“…We introduced a working memory augmented adaptive controller in our recent work. The controller uses attention to read from and write to the working memory…”
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Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems by Mahmud, S M Nahid, Abudia, Moad, Nivison, Scott A, Bell, Zachary I, Kamalapurkar, Rushikesh

“…The ability to learn and execute optimal control policies safely is critical to realization of complex autonomy, especially where task restarts are not…”
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