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Abhishek Gupta

Montreal AI Ethics Institute

ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors


Jul 28, 2021
Charles Sun, Jędrzej Orbik, Coline Devin, Brian Yang, Abhishek Gupta, Glen Berseth, Sergey Levine

* 17 pages 

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Persistent Reinforcement Learning via Subgoal Curricula


Jul 27, 2021
Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn


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MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning


Jul 18, 2021
Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr Pong, Aurick Zhou, Justin Yu, Sergey Levine

* Accepted to ICML 2021. First two authors contributed equally 

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Weighted Gaussian Process Bandits for Non-stationary Environments


Jul 06, 2021
Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness Shroff


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Which Mutual-Information Representation Learning Objectives are Sufficient for Control?


Jun 14, 2021
Kate Rakelly, Abhishek Gupta, Carlos Florensa, Sergey Levine

* 18 pages, 11 figures 

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Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles


May 25, 2021
Zhaoxuan Zhu, Nicola Pivaro, Shobhit Gupta, Abhishek Gupta, Marcello Canova

* This work has been submitted to the IEEE for possible publication and is under review. Paper summary: 14 pages, 13 figures 

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The State of AI Ethics Report (Volume 4)


May 19, 2021
Abhishek Gupta, Alexandrine Royer, Connor Wright, Victoria Heath, Muriam Fancy, Marianna Bergamaschi Ganapini, Shannon Egan, Masa Sweidan, Mo Akif, Renjie Butalid

* 190 pages 

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The State of AI Ethics Report (January 2021)


May 19, 2021
Abhishek Gupta, Alexandrine Royer, Connor Wright, Falaah Arif Khan, Victoria Heath, Erick Galinkin, Ryan Khurana, Marianna Bergamaschi Ganapini, Muriam Fancy, Masa Sweidan, Mo Akif, Renjie Butalid

* 188 pages 

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Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention


Apr 22, 2021
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine

* Published at ICRA 2021. First four authors contributed equally 

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Making Responsible AI the Norm rather than the Exception


Jan 31, 2021
Abhishek Gupta

* A report prepared by the Montreal AI Ethics Institute for the National Security Commission on Artificial Intelligence in response to their Key Considerations for Responsible Development and Fielding of Artificial Intelligence document; 26 pages 

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Can Transfer Neuroevolution Tractably Solve Your Differential Equations?


Jan 06, 2021
Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong

* Currently under review at IEEE Computational Intelligence Magazine 

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Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances


Dec 03, 2020
Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong

* 12 pages, 5 figures, 2 tables, 2 algorithm pseudocodes 

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The State of AI Ethics Report (October 2020)


Nov 05, 2020
Abhishek Gupta, Alexandrine Royer, Victoria Heath, Connor Wright, Camylle Lanteigne, Allison Cohen, Marianna Bergamaschi Ganapini, Muriam Fancy, Erick Galinkin, Ryan Khurana, Mo Akif, Renjie Butalid, Falaah Arif Khan, Masa Sweidan, Audrey Balogh

* 158 pages 

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Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks


Oct 06, 2020
Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta

* 5 pages, 2 figures 

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Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI


Oct 04, 2020
Abhishek Gupta, Camylle Lanteigne, Victoria Heath

* Report submitted to Partnership on AI for inclusion in their work on Publishing Norms for Responsible AI 

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Report prepared by the Montreal AI Ethics Institute (MAIEI) for Publication Norms for Responsible AI by Partnership on AI


Sep 15, 2020
Abhishek Gupta, Camylle Lanteigne, Victoria Heath

* Report submitted to Partnership on AI for inclusion in their work on Publishing Norms for Responsible AI 

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CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets


Sep 11, 2020
Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta

* 12 pages 

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Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning


Aug 14, 2020
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun


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Report prepared by the Montreal AI Ethics Institute In Response to Mila's Proposal for a Contact Tracing App


Aug 11, 2020
Allison Cohen, Abhishek Gupta

* 8 pages 

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Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment


Jul 09, 2020
Abhishek Gupta, Erick Galinkin

* 2 pages 

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Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift


Jul 06, 2020
Marvin Zhang, Henrik Marklund, Abhishek Gupta, Sergey Levine, Chelsea Finn

* Project website: https://sites.google.com/view/adaptive-risk-minimization ; Code: https://github.com/henrikmarklund/arm 

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The State of AI Ethics Report (June 2020)


Jun 25, 2020
Abhishek Gupta, Camylle Lanteigne, Victoria Heath, Marianna Bergamaschi Ganapini, Erick Galinkin, Allison Cohen, Tania De Gasperis, Mo Akif, Renjie Butalid

* 128 pages 

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Befriending The Byzantines Through Reputation Scores


Jun 24, 2020
Jayanth Regatti, Abhishek Gupta


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Ecological Reinforcement Learning


Jun 22, 2020
John D. Co-Reyes, Suvansh Sanjeev, Glen Berseth, Abhishek Gupta, Sergey Levine

* Preprint. Website at: https://sites.google.com/view/ecological-rl/home 

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Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI


Jun 16, 2020
Abhishek Gupta, Camylle Lanteigne

* Submitted to the European Commission 

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Accelerating Online Reinforcement Learning with Offline Datasets


Jun 16, 2020
Ashvin Nair, Murtaza Dalal, Abhishek Gupta, Sergey Levine

* 16 pages. Website: https://awacrl.github.io/ 

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The Social Contract for AI


Jun 15, 2020
Mirka Snyder Caron, Abhishek Gupta

* Accepted paper for presentation at the IJCAI 2019 AI for Social Good workshop 

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SECure: A Social and Environmental Certificate for AI Systems


Jun 11, 2020
Abhishek Gupta, Camylle Lanteigne, Sara Kingsley

* Accepted for presentation at the Canadian Society for Ecological Economics 2020 Research Symposium 

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