| 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 | 180 | 2022 |
| 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 | 57 | 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 | 47 | 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 | 38* | 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 | 38 | 2020 |
| 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 | 29 | 2018 |
| 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 | 22* | 2018 |
| Self-Supervised Attention-Aware Reinforcement Learning H Wu, K Khetarpal, D Precup [AAAI 2021], Conference on Artificial Intelligence, 2021 | 19 | 2021 |
| 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 | 18* | 2021 |
| Learning Options with Interest Functions K Khetarpal, D Precup [AAAI Student Abstract 2019], 3 Minute Thesis Finalist, 33, 9955-9956, 2019 | 9 | 2019 |
| 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 | 9 | 2019 |
| Environments for lifelong reinforcement learning K Khetarpal, S Sodhani, S Chandar, D Precup [NeurIPS Workshop 2018], Continual Learning Workshop, arXiv preprint arXiv …, 2018 | 9 | 2018 |
| 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 | 8 | 2021 |
| Temporally Abstract Partial Models K Khetarpal, Z Ahmed, G Comanici, D Precup [NeurIPS 2021] Advances in Neural Information Processing Systems, 2021 | 7 | 2021 |
| 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 | 7 | 2018 |
| 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 | 7 | 2014 |
| A preliminary benchmark of four saliency algorithms on comic art K Khetarpal, E Jain [IEEE Workshop 2016], International Conference on Multimedia & Expo Workshop …, 2016 | 6 | 2016 |
| 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 | 5 | 2017 |
| 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 | 3* | 2022 |
| POMRL: No-Regret Learning-to-Plan with Increasing Horizons K Khetarpal, C Vernade, B O'Donoghue, S Singh, T Zahavy [TMLR 2023 ]arXiv preprint arXiv:2212.14530, 2023 | 1 | 2023 |
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
