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Conference and Workshop Papers
- 2016
[c5]Tom Everitt
, Daniel Filan, Mayank Daswani, Marcus Hutter:
Self-Modification of Policy and Utility Function in Rational Agents. AGI 2016: 1-11- 2015
- [c4]Mayank Daswani, Jan Leike:
A Definition of Happiness for Reinforcement Learning Agents. AGI 2015: 231-240 - 2014
- [c3]Mayank Daswani, Peter Sunehag, Marcus Hutter:
Reinforcement learning with value advice. ACML 2014 - 2013
- [c2]Mayank Daswani, Peter Sunehag, Marcus Hutter:
Q-learning for history-based reinforcement learning. ACML 2013: 213-228 - 2012
- [c1]Mayank Daswani, Peter Sunehag, Marcus Hutter:
Feature Reinforcement Learning using Looping Suffix Trees. EWRL 2012: 11-24
Informal and Other Publications
- 2024
- [i4]Mayank Daswani, Mathias M. J. Bellaiche, Marc Wilson, Desislav Ivanov, Mikhail Papkov, Eva Schnider, Jing Tang, Kay Lamerigts, Gabriela Botea, Michael A. Sanchez, Yojan Patel, Shruthi Prabhakara, Shravya Shetty, Umesh Telang:
Plots Unlock Time-Series Understanding in Multimodal Models. CoRR abs/2410.02637 (2024) - 2023
- [i3]Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Gregory S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila:
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. CoRR abs/2305.05648 (2023) - 2016
- [i2]Tom Everitt, Daniel Filan, Mayank Daswani, Marcus Hutter:
Self-Modification of Policy and Utility Function in Rational Agents. CoRR abs/1605.03142 (2016) - 2015
- [i1]Mayank Daswani, Jan Leike:
A Definition of Happiness for Reinforcement Learning Agents. CoRR abs/1505.04497 (2015)
Coauthor Index
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