| Rainbow: Combining improvements in deep reinforcement learning M Hessel, J Modayil, H Van Hasselt, T Schaul, G Ostrovski, W Dabney, ... Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 3499 | 2018 |
| Vector-based navigation using grid-like representations in artificial agents A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ... Nature 557 (7705), 429-433, 2018 | 934 | 2018 |
| Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction RS Sutton, J Modayil, M Delp, T Degris, PM Pilarski, A White, D Precup The 10th International Conference on Autonomous Agents and Multiagent …, 2011 | 677 | 2011 |
| Deep reinforcement learning and the deadly triad H Van Hasselt, Y Doron, F Strub, M Hessel, N Sonnerat, J Modayil arXiv preprint arXiv:1812.02648, 2018 | 351 | 2018 |
| Local metrical and global topological maps in the hybrid spatial semantic hierarchy B Kuipers, J Modayil, P Beeson, M MacMahon, F Savelli IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004 | 307 | 2004 |
| Factoring the mapping problem: Mobile robot map-building in the hybrid spatial semantic hierarchy P Beeson, J Modayil, B Kuipers The International Journal of Robotics Research 29 (4), 428-459, 2010 | 177 | 2010 |
| Loss of plasticity in continual deep reinforcement learning Z Abbas, R Zhao, J Modayil, A White, MC Machado Conference on lifelong learning agents, 620-636, 2023 | 155 | 2023 |
| Multi-timescale nexting in a reinforcement learning robot J Modayil, A White, RS Sutton Adaptive Behavior 22 (2), 146-160, 2014 | 155 | 2014 |
| Improving the recognition of interleaved activities J Modayil, T Bai, H Kautz Proceedings of the 10th international conference on Ubiquitous computing, 40-43, 2008 | 109 | 2008 |
| Bootstrap learning for object discovery J Modayil, B Kuipers 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004 | 92 | 2004 |
| The initial development of object knowledge by a learning robot J Modayil, B Kuipers Robotics and autonomous systems 56 (11), 879-890, 2008 | 90 | 2008 |
| Using the topological skeleton for scalable global metrical map-building J Modayil, P Beeson, B Kuipers 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004 | 86 | 2004 |
| Bootstrap learning of foundational representations BJ Kuipers, P Beeson, J Modayil, J Provost Connection Science 18 (2), 145-158, 2006 | 84 | 2006 |
| Ray interference: a source of plateaus in deep reinforcement learning T Schaul, D Borsa, J Modayil, R Pascanu arXiv preprint arXiv:1904.11455, 2019 | 82 | 2019 |
| Autonomous development of a grounded object ontology by a learning robot J Modayil, B Kuipers Proceedings of the national conference on Artificial intelligence 22 (2), 1095, 2007 | 74 | 2007 |
| Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication. P Beeson, M MacMahon, J Modayil, A Murarka, B Kuipers, B Stankiewicz Interaction challenges for intelligent assistants, 1-9, 2007 | 62 | 2007 |
| Building local safety maps for a wheelchair robot using vision and lasers A Murarka, J Modayil, B Kuipers The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 25-25, 2006 | 51 | 2006 |
| On inductive biases in deep reinforcement learning M Hessel, H van Hasselt, J Modayil, D Silver arXiv preprint arXiv:1907.02908, 2019 | 50 | 2019 |
| Building machines that learn and think for themselves M Botvinick, DGT Barrett, P Battaglia, N de Freitas, D Kumaran, JZ Leibo, ... Behavioral and Brain Sciences 40, 2017 | 50 | 2017 |
| Universal option models H Yao, C Szepesvári, R Sutton, J Modayil, S Bhatnagar Advances in Neural Information Processing Systems 27, 2014 | 44 | 2014 |
Benjamin KuipersProfessor of Computer Science & Engineering, University of MichiganVerified email at umich.edu
