Spremljaj
Khimya Khetarpal
Khimya Khetarpal
Google Deepmind, Mila
Preverjeni e-poštni naslov na google.com - Domača stran
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Leto
Towards continual reinforcement learning: A review and perspectives
K Khetarpal, M Riemer, I Rish, D Precup
[JAIR 2022] Journal of Artificial Intelligence Research 75, 1401-1476, 2022
3562022
What can I do here? A Theory of Affordances in Reinforcement Learning
K Khetarpal, Z Ahmed, G Comanici, D Abel, D Precup
[ICML 2020] International Conference on Machine Learning, 2020
802020
Value preserving state-action abstractions
D Abel, N Umbanhowar, K Khetarpal, D Arumugam, D Precup, M Littman
[AISTATS 2020] International Conference on Artificial Intelligence and …, 2020
682020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
A Zhang, S Sodhani, K Khetarpal, J Pineau
[ICLR 2021] arXiv preprint arXiv:2007.07206, 2020
59*2020
Options of Interest: Temporal Abstraction with Interest Functions
K Khetarpal, M Klissarov, M Chevalier-Boisvert, PL Bacon, D Precup
[AAAI 2020] Conference on Artificial Intelligence, arXiv preprint arXiv:2001 …, 2020
532020
Safe option-critic: Learning safety in the option-critic architecture
A Jain, K Khetarpal, D Precup
[KER Journal 2021] The Knowledge Engineering Review 36, 2021, 2018
342018
Self-Supervised Attention-Aware Reinforcement Learning
H Wu, K Khetarpal, D Precup
[AAAI 2021], Conference on Artificial Intelligence, 2021
302021
Disentangling the causes of plasticity loss in neural networks
C Lyle, Z Zheng, K Khetarpal, H van Hasselt, R Pascanu, J Martens, ...
[CoLLAS 2024] arXiv preprint arXiv:2402.18762, 2024
272024
Sequoia: A software framework to unify continual learning research
F Normandin, F Golemo, O Ostapenko, P Rodriguez, MD Riemer, ...
[ICML Workshop 2021] Workshop on Theory and Foundation of Continual Learning, 2021
27*2021
Re-evaluate: Reproducibility in evaluating reinforcement learning algorithms
K Khetarpal, Z Ahmed, A Cianflone, R Islam, J Pineau
[ICML Workshop 2018], Reproducibility in ML Workshop,, 2018
26*2018
Learning Options with Interest Functions
K Khetarpal, D Precup
[AAAI Student Abstract 2019], 3 Minute Thesis Finalist, 33, 9955-9956, 2019
162019
Variational state encoding as intrinsic motivation in reinforcement learning
M Klissarov, R Islam, K Khetarpal, D Precup
[ICLR Workshop 2019], Task-Agnostic Reinforcement Learning Workshop, 2019
16*2019
Variance Penalized On-Policy and Off-Policy Actor-Critic
A Jain, G Patil, A Jain, K Khetarpal, D Precup
[AAAI 2021], Conference on Artificial Intelligence, arXiv preprint arXiv …, 2021
142021
Temporally Abstract Partial Models
K Khetarpal, Z Ahmed, G Comanici, D Precup
[NeurIPS 2021] Advances in Neural Information Processing Systems, 2021
132021
Environments for lifelong reinforcement learning
K Khetarpal, S Sodhani, S Chandar, D Precup
[NeurIPS Workshop 2018], Continual Learning Workshop, arXiv preprint arXiv …, 2018
112018
Mobile robot navigation using evolving neural controller in unstructured environments
A Patnaik, K Khetarpal, L Behera
[ACODS 2014] IFAC Proceedings Volumes 47 (1), 758-765, 2014
82014
Attend before you act: Leveraging human visual attention for continual learning
K Khetarpal, D Precup
[ICML Workshop 2018], Lifelong Learning: A Reinforcement Learning Approach …, 2018
72018
Normalization and effective learning rates in reinforcement learning
C Lyle, Z Zheng, K Khetarpal, J Martens, H van Hasselt, R Pascanu, ...
[NeurIPS 2024] arXiv preprint arXiv:2407.01800, 2024
62024
The Paradox of Choice: On the Role of Attention in Hierarchical Reinforcement Learning
AC Nica, K Khetarpal, D Precup
[NeurIPS'22 Workshop] All Things Attention: Bridging Different Perspectives …, 2022
6*2022
Creating segments and effects on comics by clustering gaze data
I Thirunarayanan, K Khetarpal, S Koppal, OL Meur, J Shea, E Jain
[ACM Journal, 2017] Transactions on Multimedia Computing, Communications …, 2017
62017
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