Publications
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Objects as points
Xingyi Zhou, Dequan Wang, Philipp Krähenbühl. arXiv, 2021
arXiv, 2021
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Multiagent Epidemiologic Inference through Realtime Contact Tracing
Guni Sharon, James Ault, Peter Stone, Varun Kompella, and Roberto Capobianco
AAMAS, 2021
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Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds
Y. Feng, Z. Tang, N. Zhang, Q. Liu
ICLR, 2021
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A Scavenger Hunt for Service Robots
Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, and Peter Stone
ICRA, 2021
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Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts
Qiaohui Lin, Robert Lunde, Purnamrita Sarkar
arXiv, 2021
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Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates
De Huang, Jonathan Niles-Weed, Rachel Ward. arXiv, 2021
arXiv, 2021
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Sequential Online Chore Division for Autonomous Vehicle Convoy Formation
Harel Yedidsion, Shani Alkoby, and Peter Stone
arXiv, 2021
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Towards Long-Form Video Understanding
Chao-Yuan Wu, Philipp Krähenbühl
CVPR, 2021
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An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, and Peter Stone
NeurIPS, 2020
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Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
NeurIPS, 2020
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SoundSpaces: Audio-Visual Navigation in 3D Environments
C. Chen, U. Jain, C. Schissler, S. V. Amengual Gari, Z. Al-Halah, V. Ithapu, P. Robinson, K. Grauman
ECCV, 2020
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Stochastic Grounded Action Transformation for Robot Learning in Simulation
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, and Peter Stone
IROS, 2020
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Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri
NeurIPS, 2020
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Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning
Ishan Durugkar, Elad Liebman, and Peter Stone
IJCAI, 2020
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Learning Affordance Landscapes for Interaction Exploration in 3D Environments
T. Nagarajan and. K. Grauman. NeurIPS
NeurIPS, 2020
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Neurosymbolic Reinforcement Learning with Formally Verified Exploration
Greg Anderson, Abhinav Verma, Isil Dillig, Swarat Chaudhuri
NeurIPS, 2020
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Using Human-Inspired Signals to Disambiguate Navigational Intentions
Justin Hart, Reuth Mirsky, Xuesu Xiao, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, and Peter Stone
ICSR, 2020
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Meta-learning for mixed linear regression
Weihao Kong, Raghav Somani, Zhao Song, Sham Kakade, Sewoong Oh
arXiv, 2020