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Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems

Feb 18, 2021
Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris


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Cooperative Path Integral Control for Stochastic Multi-Agent Systems

Sep 30, 2020
Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris

* Submitted to American Control Conference 2021 

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Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems

Sep 28, 2020
Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou


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$\mathcal{RL}_1$-$\mathcal{GP}$: Safe Simultaneous Learning and Control

Sep 08, 2020
Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos Theodorou

* Submitted to the Conference on Robot Learning (CoRL) 2020 

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Safe Feedback Motion Planning: A Contraction Theory and $\mathcal{L}_1$-Adaptive Control Based Approach

Apr 02, 2020
Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan

* Submitted to the Conference on Decision and Control (CDC) 2020 

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Learning Probabilistic Intersection Traffic Models for Trajectory Prediction

Feb 05, 2020
Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan


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Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems

Dec 13, 2018
Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan

* AIAA SciTech 2019 

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