| 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 | 13 | 2020 |
| 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 | 11 | 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 | 10 | 2018 |
| 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 | 9 | 2020 |
| Towards continual reinforcement learning: A review and perspectives K Khetarpal, M Riemer, I Rish, D Precup arXiv preprint arXiv:2012.13490, 2020 | 8 | 2020 |
| 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 | 6 | 2016 |
| 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 | 5 | 2018 |
| 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 | 4* | 2020 |
| Learning Options with Interest Functions K Khetarpal, D Precup AAAI 2019, Student Abstract, 3MT Finalist, 33, 9955-9956, 2019 | 4 | 2019 |
| Environments for lifelong reinforcement learning K Khetarpal, S Sodhani, S Chandar, D Precup NeurIPS 2018, Continual Learning Workshop, arXiv preprint arXiv:1811.10732, 2018 | 4 | 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 | 4 | 2018 |
| Mobile robot navigation using evolving neural controller in unstructured environments A Patnaik, K Khetarpal, L Behera IFAC Proceedings Volumes 47 (1), 758-765, 2014 | 4 | 2014 |
| 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 | 3 | 2021 |
| Variational state encoding as intrinsic motivation in reinforcement learning M Klissarov, R Islam, K Khetarpal, D Precup Proc. Task-Agnostic Reinforcement Learn. Workshop Int. Conf. Learn …, 2019 | 3 | 2019 |
| 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 | 3 | 2017 |
| Self-Supervised Attention-Aware Reinforcement Learning H Wu, K Khetarpal, D Precup AAAI Conference on Artificial Intelligence 2021, 2021 | | 2021 |
| Learning Generalized Temporal Abstractions across Both Action and Perception K Khetarpal AAAI 2019, Doctoral Consortium, 33, 9890-9891, 2019 | | 2019 |
| Value Preserving State-Action Abstractions: Supplemental Material D Abel, N Umbanhowar, K Khetarpal, D Arumugam, D Precup, ML Littman | | |
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
