Khimya Khetarpal
TitleCited byYear
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
62016
Attend before you act: Leveraging human visual attention for continual learning
K Khetarpal, D Precup
arXiv preprint arXiv:1807.09664, 2018
32018
Environments for Lifelong Reinforcement Learning
K Khetarpal, S Sodhani, S Chandar, D Precup
arXiv preprint arXiv:1811.10732, 2018
22018
Re-evaluate: Reproducibility in evaluating reinforcement learning algorithms
K Khetarpal, Z Ahmed, A Cianflone, R Islam, J Pineau
22018
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
22017
Mobile robot navigation using evolving neural controller in unstructured environments
A Patnaik, K Khetarpal, L Behera
IFAC Proceedings Volumes 47 (1), 758-765, 2014
22014
Value preserving state-action abstractions
D Abel, N Umbanhowar, K Khetarpal, D Arumugam, D Precup, ML Littman
ICLR, 2019
12019
Safe option-critic: Learning safety in the option-critic architecture
A Jain, K Khetarpal, D Precup
arXiv preprint arXiv:1807.08060, 2018
12018
Options of Interest: Temporal Abstraction with Interest Functions
K Khetarpal, M Klissarov, M Chevalier-Boisvert, PL Bacon, D Precup
arXiv preprint arXiv:2001.00271, 2020
2020
Learning Generalized Temporal Abstractions across Both Action and Perception
K Khetarpal
Proceedings of the AAAI Conference on Artificial Intelligence 33, 9890-9891, 2019
2019
Learning Options with Interest Functions
K Khetarpal, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 33, 9955-9956, 2019
2019
VARIATIONAL STATE ENCODING AS INTRINSIC MOTIVATION IN REINFORCEMENT LEARNING
M Klissarov, R Islam, K Khetarpal, D Precup
Value Preserving State-Action Abstractions: Supplemental Material
D Abel, N Umbanhowar, K Khetarpal, D Arumugam, D Precup, ML Littman
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