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Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain

Feb 25, 2021
Xuesu Xiao, Joydeep Biswas, Peter Stone


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Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks

Feb 17, 2021
Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu


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Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey

Nov 26, 2020
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone


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APPLI: Adaptive Planner Parameter Learning From Interventions

Nov 01, 2020
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone

* 6 pages, 4 figures 

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APPLR: Adaptive Planner Parameter Learning from Reinforcement

Nov 01, 2020
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone


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Human versus Machine Attention in Deep Reinforcement Learning Tasks

Oct 29, 2020
Ruohan Zhang, Bo Liu, Yifeng Zhu, Sihang Guo, Mary Hayhoe, Dana Ballard, Peter Stone


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Reinforcement Learning for Optimization of COVID-19 Mitigation policies

Oct 20, 2020
Varun Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer Fox, Lauren Meyers, Peter Wurman, Peter Stone

* *Joint First Authors 

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Extended Abstract: Motion Planners Learned from Geometric Hallucination

Oct 19, 2020
Xuesu Xiao, Bo Liu, Peter Stone


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Agile Robot Navigation through Hallucinated Learning and Sober Deployment

Oct 16, 2020
Xuesu Xiao, Bo Liu, Peter Stone


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Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy

Sep 29, 2020
Yunshu Du, Garrett Warnell, Assefaw Gebremedhin, Peter Stone, Matthew E. Taylor

* 20 pages (with appendices), 5 figures, preprint 

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The EMPATHIC Framework for Task Learning from Implicit Human Feedback

Sep 28, 2020
Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox

* 8 pages main paper, 2 pages reference, 12 pages appendix 

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Benchmarking Metric Ground Navigation

Aug 31, 2020
Daniel Perille, Abigail Truong, Xuesu Xiao, Peter Stone


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Reducing Sampling Error in Batch Temporal Difference Learning

Aug 15, 2020
Brahma Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone

* Accepted to International Conference on Machine Learning (ICML) 2020 

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An Imitation from Observation Approach to Sim-to-Real Transfer

Aug 04, 2020
Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone


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Stochastic Grounded Action Transformation for Robot Learning in Simulation

Aug 04, 2020
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone

* Accepted at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 

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Reinforced Grounded Action Transformation for Sim-to-Real Transfer

Aug 04, 2020
Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone

* Accepted at International Conference on Intelligent Robots and Systems (IROS) 2020 

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Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination

Jul 30, 2020
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone


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Lifelong Navigation

Jul 30, 2020
Bo Liu, Xuesu Xiao, Peter Stone


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Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks

Jul 03, 2020
Yuqian Jiang, Sudarshanan Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone


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Artificial Musical Intelligence: A Survey

Jun 17, 2020
Elad Liebman, Peter Stone

* 99 pages, 5 figures, preprint: currently under review 

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Deep R-Learning for Continual Area Sweeping

May 31, 2020
Rishi Shah, Yuqian Jiang, Justin Hart, Peter Stone


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Learning and Reasoning for Robot Dialog and Navigation Tasks

May 20, 2020
Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen

* Accepted to SIGDIAL 2020. arXiv admin note: substantial text overlap with arXiv:1809.11074 

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iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots

Apr 18, 2020
Shiqi Zhang, Peter Stone


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APPLD: Adaptive Planner Parameter Learning from Demonstration

Mar 31, 2020
Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone

* Submitted to Robotics and Automation Letters (RAL) 

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Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Mar 10, 2020
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone


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Leveraging Human Guidance for Deep Reinforcement Learning Tasks

Sep 21, 2019
Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone

* Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) 

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Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate Navigational Intentions

Sep 14, 2019
Justin Hart, Reuth Mirsky, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, Peter Stone


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Solving Service Robot Tasks: UT Austin [email protected] 2019 Team Report

Sep 14, 2019
Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin W. Hart, Luis Sentis, Peter Stone


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