Khimya Khetarpal

48 papers A* 11A 2Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Affordances Enable Partial World Modeling with LLMs. CoRR Khimya Khetarpal, Gheorghe Comanici, Jonathan Richens, Jeremy Shar, Fei Xia, Laurent Orseau, Aleksandra Faust, Doina Precup
2026	J	`jnl`	Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments. CoRR Michael Beukman, Khimya Khetarpal, Zeyu Zheng, Will Dabney, Jakob N. Foerster, Michael Dennis, Clare Lyle
2026	J	`jnl`	Robust Intervention Learning from Emergency Stop Interventions. CoRR Ethan Pronovost, Khimya Khetarpal, Siddhartha S. Srinivasa
2025	A	`conf`	A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning. AISTATS Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Ávila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana L. Borsa, Arthur Guez, Will Dabney
2025	J	`jnl`	Agency Is Frame-Dependent. CoRR David Abel, André Barreto, Michael Bowling, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
2025	J	`jnl`	Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning. CoRR Lynn Cherif, Flemming Kondrup, David Venuto, Ankit Anand, Doina Precup, Khimya Khetarpal
2025	J	`jnl`	Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps. CoRR Matt Schmittle, Rohan Baijal, Nathan Hatch, Rosario Scalise, Mateo Guaman Castro, Sidharth Talia, Khimya Khetarpal, Byron Boots, Siddhartha S. Srinivasa
2025	J	`jnl`	Optimizing Return Distributions with Distributional Dynamic Programming. CoRR Bernardo Ávila Pires, Mark Rowland, Diana Borsa, Zhaohan Daniel Guo, Khimya Khetarpal, André Barreto, David Abel, Rémi Munos, Will Dabney
2025	J	`jnl`	Optimizing Return Distributions with Distributional Dynamic Programming. J. Mach. Learn. Res. Bernardo Ávila Pires, Mark Rowland, Diana Borsa, Zhaohan Daniel Guo, Khimya Khetarpal, André Barreto, David Abel, Rémi Munos, Will Dabney
2025	J	`jnl`	Plasticity as the Mirror of Empowerment. CoRR David Abel, Michael Bowling, André Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
2025	J	`jnl`	Representation Learning via Non-Contrastive Mutual Information. CoRR Zhaohan Daniel Guo, Bernardo Ávila Pires, Khimya Khetarpal, Dale Schuurmans, Bo Dai
2025	J	`jnl`	Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning. CoRR Daniel Lawson, Adriana Hugessen, Charlotte Cloutier, Glen Berseth, Khimya Khetarpal
2024	J	`jnl`	A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning. CoRR Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Ávila Pires, Yunhao Tang, Clare Lyle, Mark Rowland, Nicolas Heess, Diana Borsa, Arthur Guez, Will Dabney
2024	A*	`conf`	Balancing Context Length and Mixing Times for Reinforcement Learning at Scale. NeurIPS Matthew Riemer, Khimya Khetarpal, Janarthanan Rajendran, Sarath Chandar
2024	—	`conf`	Disentangling the Causes of Plasticity Loss in Neural Networks. CoLLAs Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney
2024	J	`jnl`	Disentangling the Causes of Plasticity Loss in Neural Networks. CoRR Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney
2024	A*	`conf`	Normalization and effective learning rates in reinforcement learning. NeurIPS Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado Philip van Hasselt, Razvan Pascanu, Will Dabney
2024	J	`jnl`	Normalization and effective learning rates in reinforcement learning. CoRR Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney
2024	J	`jnl`	Toward Human-AI Alignment in Large-Scale Multi-Player Games. CoRR Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
2023	A*	`conf`	Discovering Object-Centric Generalized Value Functions From Pixels. ICML Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou
2023	J	`jnl`	Discovering Object-Centric Generalized Value Functions From Pixels. CoRR Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou
2023	J	`jnl`	Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels. CoRR Thomas Jiralerspong, Flemming Kondrup, Doina Precup, Khimya Khetarpal
2023	J	`jnl`	POMRL: No-Regret Learning-to-Plan with Increasing Horizons. Trans. Mach. Learn. Res. Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
2022	J	`jnl`	POMRL: No-Regret Learning-to-Plan with Increasing Horizons. CoRR Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
2022	J	`jnl`	The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning. CoRR Andrei Cristian Nica, Khimya Khetarpal, Doina Precup
2022	J	`jnl`	Towards Continual Reinforcement Learning: A Review and Perspectives. J. Artif. Intell. Res. Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
2021	A*	`conf`	Learning Robust State Abstractions for Hidden-Parameter Block MDPs. ICLR Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
2021	J	`jnl`	Safe option-critic: learning safety in the option-critic architecture. Knowl. Eng. Rev. Arushi Jain, Khimya Khetarpal, Doina Precup
2021	A*	`conf`	Self-Supervised Attention-Aware Reinforcement Learning. AAAI Haiping Wu, Khimya Khetarpal, Doina Precup
2021	J	`jnl`	Sequoia: A Software Framework to Unify Continual Learning Research. CoRR 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
2021	A*	`conf`	Temporally Abstract Partial Models. NeurIPS Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup
2021	J	`jnl`	Temporally Abstract Partial Models. CoRR Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup
2021	A*	`conf`	Variance Penalized On-Policy and Off-Policy Actor-Critic. AAAI Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
2021	J	`jnl`	Variance Penalized On-Policy and Off-Policy Actor-Critic. CoRR Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup
2020	J	`jnl`	Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP. CoRR Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
2020	A*	`conf`	Options of Interest: Temporal Abstraction with Interest Functions. AAAI Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup
2020	J	`jnl`	Options of Interest: Temporal Abstraction with Interest Functions. CoRR Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup
2020	J	`jnl`	Towards Continual Reinforcement Learning: A Review and Perspectives. CoRR Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
2020	A	`conf`	Value Preserving State-Action Abstractions. AISTATS David Abel, Nate Umbanhowar, Khimya Khetarpal, Dilip Arumugam, Doina Precup, Michael L. Littman
2020	A*	`conf`	What can I do here? A Theory of Affordances in Reinforcement Learning. ICML Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup
2020	J	`jnl`	What can I do here? A Theory of Affordances in Reinforcement Learning. CoRR Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup
2019	A*	`conf`	Learning Generalized Temporal Abstractions across Both Action and Perception. AAAI Khimya Khetarpal
2019	A*	`conf`	Learning Options with Interest Functions. AAAI Khimya Khetarpal, Doina Precup
2018	J	`jnl`	Attend Before you Act: Leveraging human visual attention for continual learning. CoRR Khimya Khetarpal, Doina Precup
2018	J	`jnl`	Environments for Lifelong Reinforcement Learning. CoRR Khimya Khetarpal, Shagun Sodhani, Sarath Chandar, Doina Precup
2018	J	`jnl`	Safe Option-Critic: Learning Safety in the Option-Critic Architecture. CoRR Arushi Jain, Khimya Khetarpal, Doina Precup
2017	J	`jnl`	Creating Segments and Effects on Comics by Clustering Gaze Data. ACM Trans. Multim. Comput. Commun. Appl. Ishwarya Thirunarayanan, Khimya Khetarpal, Sanjeev J. Koppal, Olivier Le Meur, John M. Shea, Eakta Jain
2016	—	`conf`	A preliminary benchmark of four saliency algorithms on comic art. ICME Workshops Khimya Khetarpal, Eakta Jain