| Optimal policy switching algorithms for reinforcement learning G Comanici, D Precup Proceedings of the 9th International Conference on Autonomous Agents and …, 2010 | 37 | 2010 |
| On-the-fly algorithms for bisimulation metrics G Comanici, P Panangaden, D Precup 2012 Ninth International Conference on Quantitative Evaluation of Systems …, 2012 | 18 | 2012 |
| Basis function discovery using spectral clustering and bisimulation metrics G Comanici, D Precup International Workshop on Adaptive and Learning Agents, 85-99, 2011 | 18 | 2011 |
| The option keyboard: Combining skills in reinforcement learning A Barreto, D Borsa, S Hou, G Comanici, E Aygün, P Hamel, DK Toyama, ... | 12 | 2019 |
| Representation discovery for mdps using bisimulation metrics S Ruan, G Comanici, P Panangaden, D Precup Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 10 | 2015 |
| What can I do here? A Theory of Affordances in Reinforcement Learning K Khetarpal, Z Ahmed, G Comanici, D Abel, D Precup International Conference on Machine Learning, 5243-5253, 2020 | 9 | 2020 |
| An empirical analysis of off-policy learning in discrete mdps C Păduraru, D Precup, J Pineau, G Comănici European Workshop on Reinforcement Learning, 89-102, 2013 | 8 | 2013 |
| Basis refinement strategies for linear value function approximation in MDPs G Comanici, D Precup, P Panangaden Advances in Neural Information Processing Systems 28, 2899-2907, 2015 | 4 | 2015 |
| A study of off-policy learning in computational sustainability C Paduraru, D Precup, J Pineau, G Comanici European Workshop on Reinforcement Learning (EWRL) 24, 89-102, 2012 | 4 | 2012 |
| Knowledge representation for reinforcement learning using general value functions G Comanici, D Precup, A Barreto, DK Toyama, E Aygün, P Hamel, ... | 3 | 2018 |
| Representation discovery for Markov decision processes using behavioural similarity G Comanici | | 2016 |
| Optimal Time Scales for Reinforcement Learning Behaviour Strategies G Comanici, D Precup McGill University, 2010 | | 2010 |
