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A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems


Jan 18, 2023
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

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* To appear in Neural Networks 

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Safe Evaluation For Offline Learning: Are We Ready To Deploy?


Dec 16, 2022
Hager Radi, Josiah P. Hanna, Peter Stone, Matthew E. Taylor

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* NeurIPS 2021 Workshop on Deployable Decision Making in Embodied Systems [Spotlight] 

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Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning


Nov 15, 2022
Yoonchang Sung, Zizhao Wang, Peter Stone

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* 17 pages, 3 figures, Published in the Conference on Robot Learning (CoRL), 2022 

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ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning


Nov 08, 2022
Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone

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Event Tables for Efficient Experience Replay


Nov 01, 2022
Varun Kompella, Thomas Walsh, Samuel Barrett, Peter Wurman, Peter Stone

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Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence


Oct 31, 2022
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller

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* 52 pages, https://ai100.stanford.edu/2016-report 

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D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning


Oct 26, 2022
Caroline Wang, Garrett Warnell, Peter Stone

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VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors


Oct 20, 2022
Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu

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* To be published at the 6th Conference on Robot Learning 

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Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis


Oct 10, 2022
Zifan Xu, Anirudh Nair, Xuesu Xiao, Peter Stone

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Benchmarking Reinforcement Learning Techniques for Autonomous Navigation


Oct 10, 2022
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone

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