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Consider the problem setting of Interaction-Grounded Learning (IGL), in which a learner's goal is to optimally interact with the environment with no explicit reward to ground its policies.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Toward an affect-sensitive multimodal human-computer interaction
Maja Pantic and Leon JM Rothkrantz · 2003
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Multimodal feedback: an assessment of performance and mental workload
Holly S Vitense, Julie A Jacko, and V Kathlene Emery · 2003
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Gaze typing compared with input by head and hand
John Paulin Hansen, Kristian Tørning, Anders Sewerin Johansen, Kenji Itoh, and Hirotaka Aoki · 2004
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The epoch-greedy algorithm for contextual multi-armed bandits
John Langford and Tong Zhang · 2007
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Modeling decisions for artificial intelligence
Vicenç Torra, Yasuo Narukawa, and Toho Gakuen · 2008
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Landmarking for meta-learning using rapidminer
Sarah Daniel Abdelmessih, Faisal Shafait, Matthias Reif, and Markus Goldstein · 2010
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An eye-gaze tracking and human computer interface system for people with als and other locked-in diseases
Shuo Samuel Liu, Andrew Rawicz, Teng Ma, Cheng Zhang, Kyle Lin, Siavash Rezaei, and Eion Wu · 2010
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Number processing pathways in human parietal cortex
Seppe Santens, Chantal Roggeman, Wim Fias, and Tom Verguts · 2010
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Efficient optimal learning for contextual bandits
Miroslav Dudik, Daniel Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, and Tong Zhang · 2011
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Overview of functional magnetic resonance imaging
Gary H Glover · 2011
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Human anterior prefrontal cortex encodes the ‘what’and ‘when’of future intentions
Ida Momennejad and John-Dylan Haynes · 2012
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Encoding of prospective tasks in the human prefrontal cortex under varying task loads
Ida Momennejad and John-Dylan Haynes · 2013
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Taming the monster: A fast and simple algorithm for contextual bandits
Alekh Agarwal, Daniel Hsu, Satyen Kale, John Langford, Lihong Li, and Robert Schapire · 2014
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Calibration-free bci based control
Jonathan Grizou, Inaki Iturrate, Luis Montesano, Pierre-Yves Oudeyer, and Manuel Lopes · 2014
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A collaborative bci approach to autonomous control of a prosthetic limb system
Kapil D Katyal, Matthew S Johannes, Spencer Kellis, Tyson Aflalo, Christian Klaes, Timothy G McGee, Matthew P Para, Ying Shi, Brian Lee, Kelsie Pejsa, et al · 2014
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Automatic classifier selection for non-experts
Matthias Reif, Faisal Shafait, Markus Goldstein, Thomas Breuel, and Andreas Dengel · 2014
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Closed-loop training of attention with real-time brain imaging
Megan T Debettencourt, Jonathan D Cohen, Ray F Lee, Kenneth A Norman, and Nicholas B Turk-Browne · 2015
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Closed-loop cognition: the next frontier arrives
Jyoti Mishra and Adam Gazzaley · 2015
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fnirs-based brain-computer interfaces: a review
Noman Naseer and Keum-Shik Hong · 2015
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Openml: a networked science platform for machine learning
Joaquin Vanschoren, Jan N van Rijn, B Bischl, G Casalicchio, M Lang, and M Feurer · 2015
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Noise correlations in the human brain and their impact on pattern classification
Vikranth R Bejjanki, Rava Azeredo Da Silveira, Jonathan D Cohen, and Nicholas B Turk-Browne · 2017
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Multimodal feedback in hci: haptics, non-speech audio, and their applications
Euan Freeman, Graham Wilson, Dong-Bach Vo, Alex Ng, Ioannis Politis, and Stephen Brewster · 2017
A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Facilitating open-science with realistic fmri simulation: validation and application
Cameron T Ellis, Christopher Baldassano, Anna C Schapiro, Ming Bo Cai, and Jonathan D Cohen · 2020
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The quest for the genuine visual mismatch negativity (vmmn): Event-related potential indications of deviance detection for low-level visual features
Alie G Male, Robert P O’Shea, Erich Schröger, Dagmar Müller, Urte Roeber, and Andreas Widmann · 2020
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Kinematic state abstraction and provably efficient rich-observation reinforcement learning
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, and John Langford · 2020
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Delineating implicit and explicit processes in neurofeedback learning
Santiago Muñoz-Moldes and Axel Cleeremans · 2020
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Improving dwell-based gaze typing with dynamic, cascading dwell times
Martez E Mott, Shane Williams, Jacob O Wobbrock, and Meredith Ringel Morris · 2017
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Mutual information neural estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, R. Devon Hjelm, and Aaron C. Courville · 2018
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On oracle-efficient pac rl with rich observations
Christoph Dann, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford, and Robert E Schapire · 2018
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Gaze-based interaction: A 30 year retrospective
Andrew T Duchowski · 2018
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Foundations of machine learning
Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar · 2018
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Human gaze following for human-robot interaction
Akanksha Saran, Srinjoy Majumdar, Elaine Schaertl Short, Andrea Thomaz, and Scott Niekum · 2018
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Understanding teacher gaze patterns for robot learning
Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, and Scott Niekum · 2020
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The hardness of conditional independence testing and the generalised covariance measure
Rajen D Shah and Jonas Peters · 2020
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Human gaze assisted artificial intelligence: A review
Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana Ballard, and Mary Hayhoe · 2020
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Openml benchmarking suites
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, and Joaquin Vanschoren · 2021
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The empathic framework for task learning from implicit human feedback
Yuchen Cui, Qiping Zhang, Brad Knox, Alessandro Allievi, Peter Stone, and Scott Niekum · 2021
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Openml-python: an extensible python api for openml
Matthias Feurer, Jan N van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, and Frank Hutter · 2021
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X2T: training an x-to-text typing interface with online learning from user feedback
Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, and Sergey Levine · 2021
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Provable guarantees for self-supervised deep learning with spectral contrastive loss
Jeff Z HaoChen, Colin Wei, Adrien Gaidon, and Tengyu Ma · 2021
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Interactive learning from activity description
Khanh X Nguyen, Dipendra Misra, Robert Schapire, Miroslav Dudík, and Patrick Shafto · 2021
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Towards intrinsic interactive reinforcement learning
Benjamin Poole and Minwoo Lee · 2021
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Accelerating reinforcement learning using eeg-based implicit human feedback
Duo Xu, Mohit Agarwal, Ekansh Gupta, Faramarz Fekri, and Raghupathy Sivakumar · 2021
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