Khimya Khetarpal

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Natural Actor Critic

Temporal Abstractions

Reinforcement Learning

Top Venues

ACM Trans. Multim. Comput. Commun. Appl.

Publications

Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Ávila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana Borsa, Arthur Guez, Will Dabney
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning. CoRR (2024)
Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
Toward Human-AI Alignment in Large-Scale Multi-Player Games. CoRR (2024)
Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney
Normalization and effective learning rates in reinforcement learning. CoRR (2024)
Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney
Disentangling the Causes of Plasticity Loss in Neural Networks. CoRR (2024)
Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou
Discovering Object-Centric Generalized Value Functions From Pixels. ICML (2023)
Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
POMRL: No-Regret Learning-to-Plan with Increasing Horizons. Trans. Mach. Learn. Res. 2023 (2023)
Thomas Jiralerspong, Flemming Kondrup, Doina Precup, Khimya Khetarpal
Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels. CoRR (2023)
Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou
Discovering Object-Centric Generalized Value Functions From Pixels. CoRR (2023)
Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
Towards Continual Reinforcement Learning: A Review and Perspectives. J. Artif. Intell. Res. 75 (2022)
Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
POMRL: No-Regret Learning-to-Plan with Increasing Horizons. CoRR (2022)
Andrei Cristian Nica, Khimya Khetarpal, Doina Precup
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning. CoRR (2022)
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
Variance Penalized On-Policy and Off-Policy Actor-Critic. AAAI (2021)
Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
Learning Robust State Abstractions for Hidden-Parameter Block MDPs. ICLR (2021)
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
Variance Penalized On-Policy and Off-Policy Actor-Critic. CoRR (2021)
Arushi Jain, Khimya Khetarpal, Doina Precup
Safe option-critic: learning safety in the option-critic architecture. Knowl. Eng. Rev. 36 (2021)
Haiping Wu, Khimya Khetarpal, Doina Precup
Self-Supervised Attention-Aware Reinforcement Learning. AAAI (2021)
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup
Temporally Abstract Partial Models. NeurIPS (2021)
Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodríguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia
Sequoia: A Software Framework to Unify Continual Learning Research. CoRR (2021)
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup
Temporally Abstract Partial Models. CoRR (2021)
David Abel, Nate Umbanhowar, Khimya Khetarpal, Dilip Arumugam, Doina Precup, Michael L. Littman
Value Preserving State-Action Abstractions. AISTATS (2020)
Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup
Options of Interest: Temporal Abstraction with Interest Functions. CoRR (2020)
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup
What can I do here? A Theory of Affordances in Reinforcement Learning. ICML (2020)
Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP. CoRR (2020)
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup
What can I do here? A Theory of Affordances in Reinforcement Learning. CoRR (2020)
Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup
Options of Interest: Temporal Abstraction with Interest Functions. AAAI (2020)
Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
Towards Continual Reinforcement Learning: A Review and Perspectives. CoRR (2020)
Khimya Khetarpal
Learning Generalized Temporal Abstractions across Both Action and Perception. AAAI (2019)
Khimya Khetarpal, Doina Precup
Learning Options with Interest Functions. AAAI (2019)
Arushi Jain, Khimya Khetarpal, Doina Precup
Safe Option-Critic: Learning Safety in the Option-Critic Architecture. CoRR (2018)
Khimya Khetarpal, Shagun Sodhani, Sarath Chandar, Doina Precup
Environments for Lifelong Reinforcement Learning. CoRR (2018)
Khimya Khetarpal, Doina Precup
Attend Before you Act: Leveraging human visual attention for continual learning. CoRR (2018)
Ishwarya Thirunarayanan, Khimya Khetarpal, Sanjeev J. Koppal, Olivier Le Meur, John Shea, Eakta Jain
Creating Segments and Effects on Comics by Clustering Gaze Data. ACM Trans. Multim. Comput. Commun. Appl. 13 (3) (2017)
Khimya Khetarpal, Eakta Jain
A preliminary benchmark of four saliency algorithms on comic art. ICME Workshops (2016)