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A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning


Apr 28, 2021
Andrew Patterson, Adam White, Sina Ghiassian, Martha White


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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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Gradient Temporal-Difference Learning with Regularized Corrections


Jul 07, 2020
Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White

* 22 pages. Accepted to ICML 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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Proximity Queries for Absolutely Continuous Parametric Curves


Apr 09, 2019
Arun Lakshmanan, Andrew Patterson, Venanzio Cichella, Naira Hovakimyan


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Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification


Apr 04, 2019
Andrew Patterson, Arun Lakshmanan, Naira Hovakimyan


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Online Off-policy Prediction


Nov 06, 2018
Sina Ghiassian, Andrew Patterson, Martha White, Richard S. Sutton, Adam White

* 68 pages 

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General Value Function Networks


Jul 18, 2018
Matthew Schlegel, Adam White, Andrew Patterson, Martha White


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Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains


Jun 12, 2018
Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White

* IJCAI 2018 

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