Khimya Khetarpal
Khimya Khetarpal
Ph.D. Candidate, McGill University / Mila Montreal
Verified email at - Homepage
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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, 5243-5253, 2020
Options of Interest: Temporal Abstraction with Interest Functions
K Khetarpal, M Klissarov, M Chevalier-Boisvert, PL Bacon, D Precup
AAAI Conference on Artificial Intelligence 2020, arXiv preprint arXiv:2001.00271, 2020
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
Safe option-critic: Learning safety in the option-critic architecture
A Jain, K Khetarpal, D Precup
KER 2021, arXiv preprint arXiv:1807.08060, 2018
A preliminary benchmark of four saliency algorithms on comic art
K Khetarpal, E Jain
2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2016
Environments for lifelong reinforcement learning
K Khetarpal, S Sodhani, S Chandar, D Precup
NeurIPS 2018, Continual Learning Workshop, arXiv preprint arXiv:1811.10732, 2018
Attend before you act: Leveraging human visual attention for continual learning
K Khetarpal, D Precup
ICML 2018, Lifelong Learning: A Reinforcement Learning Approach Workshop …, 2018
Re-evaluate: Reproducibility in evaluating reinforcement learning algorithms
K Khetarpal, Z Ahmed, A Cianflone, R Islam, J Pineau
Reproducibility in ML Workshop, ICML 2018, 2018
Creating segments and effects on comics by clustering gaze data
I Thirunarayanan, K Khetarpal, S Koppal, OL Meur, J Shea, E Jain
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2017
Mobile robot navigation using evolving neural controller in unstructured environments
A Patnaik, K Khetarpal, L Behera
IFAC Proceedings Volumes 47 (1), 758-765, 2014
Towards Continual Reinforcement Learning: A Review and Perspectives
K Khetarpal, M Riemer, I Rish, D Precup
arXiv preprint arXiv:2012.13490, 2020
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
Learning Options with Interest Functions
K Khetarpal, D Precup
AAAI 2019, Student Abstract, 3MT Finalist, 33, 9955-9956, 2019
Variational state encoding as intrinsic motivation in reinforcement learning
M Klissarov, R Islam, K Khetarpal, D Precup
Task-Agnostic Reinforcement Learning Workshop at Proceedings of the …, 2019
Variance Penalized On-Policy and Off-Policy Actor-Critic
A Jain, G Patil, A Jain, K Khetarpal, D Precup
AAAI Conference on Artificial Intelligence 2021, arXiv preprint arXiv:2102.01985, 2021
Self-Supervised Attention-Aware Reinforcement Learning
H Wu, K Khetarpal, D Precup
AAAI Conference on Artificial Intelligence 2021, 2021
Learning Generalized Temporal Abstractions across Both Action and Perception
K Khetarpal
AAAI 2019, Doctoral Consortium, 33, 9890-9891, 2019
Value Preserving State-Action Abstractions: Supplemental Material
D Abel, N Umbanhowar, K Khetarpal, D Arumugam, D Precup, ML Littman
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