Publications
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Improved Graph Clustering
Yudong Chen, Sujay Sanghavi, Huan Xu
arXiv, 2021
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Something New Versus Tried and True: Ensuring 'Innovative' AI is 'Good' AI
Stephen C. Slota, Kenneth R. Fleischmann, Sherri Greenberg, Nitin Verma, Brenna Cummings, Lan Li, Chris Shenefiel
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Few-Shot Learning via Learning the Representation, Provably
Simon S. Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei
ICLR, 2021
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Scalable Multiagent Driving Policies For Reducing Traffic Congestion.
Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, and Peter Stone
AAMAS, 2021
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Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
Meena Jagadeesan, Ilya Razenshteyn, Suriya Gunasekar
arXiv, 2021
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Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
Yu-Sian Jiang, Garrett Warnell, and Peter Stone
AAMAS, 2021
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Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, and Peter Stone
AAAI, 2021
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Expected Value of Communication for Planning in Ad Hoc Teamwork
William Macke, Reuth Mirsky, and Peter Stone
AAAI, 2021
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On Sampling Error in Batch Action-Value Prediction Algorithms
Brahma S. Pavse, Josiah P. Hanna, Ishan Durugkar, and Peter Stone
NeurIPS, 2020
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Learning and Reasoning for Robot Dialog and Navigation Tasks
Keting Lu, Shiqi Zhang, Peter Stone, and Xiaoping Chen
July, 2020
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Deep R-Learning for Continual Area Sweeping
Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone
IROS, 2020
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Tracking Objects as Points
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
ECCV, 2020
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Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney
JAIR, 2020
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Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
Lemeng Wu, Bo Liu, Peter Stone, and Qiang Liu
NeurIPS, 2020
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Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
M. Ye, G. Gong, L. Nie, D. Zhou, A. Klivans, Q. Liu
ICML, 2020
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Faster Johnson-Lindenstrauss Transforms via Kronecker Products
Ruhui Jin, Tamara G. Kolda, Rachel Ward
arXiv, 2020
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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