Publications
Adaptive Sampling to Reduce Disparate Performance
Jacob Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Jie (Claire) Zhang
arXiv, 2020
Value Alignment Verification
Daniel S. Brown, Jordan Schneioder, Scott Niekum
NeurIPS, 2020
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent.
Surbhi Goel, Aravind Gollakota, Zhihan Jin, Sushrut Karmalkar, Adam Klivans
ICML, 2020
Kernel and Rich Regimes in Overparametrized Models
Blake Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro
PMLR, 2020
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration
Brahma Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, and Peter Stone
IROS, 2020
Reducing Sampling Error in Batch Temporal Difference Learning
Brahma Pavse, Ishan Durugkar, Josiah Hanna, and Peter Stone
ICML, 2020
The EMPATHIC Framework for Task Learning from Implicit Human Feedback
Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox
CRL, 2020
On Sampling Error in Batch Action-Value Prediction Algorithms
Brahma S. Pavse, Josiah P. Hanna, Ishan Durugkar, and Peter Stone
NeurIPS, 2020
Learning and Reasoning for Robot Dialog and Navigation Tasks
Keting Lu, Shiqi Zhang, Peter Stone, and Xiaoping Chen
July, 2020
Deep R-Learning for Continual Area Sweeping
Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone
IROS, 2020
Tracking Objects as Points
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
ECCV, 2020
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
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
Lemeng Wu, Bo Liu, Peter Stone, and Qiang Liu
NeurIPS, 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
M. Ye, G. Gong, L. Nie, D. Zhou, A. Klivans, Q. Liu
ICML, 2020
Faster Johnson-Lindenstrauss Transforms via Kronecker Products
Ruhui Jin, Tamara G. Kolda, Rachel Ward
arXiv, 2020
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
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
NeurIPS, 2020
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