| The option-critic architecture PL Bacon, J Harb, D Precup Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 351 | 2017 |
| Conditional computation in neural networks for faster models E Bengio, PL Bacon, J Pineau, D Precup arXiv preprint arXiv:1511.06297, 2015 | 110 | 2015 |
| When waiting is not an option: Learning options with a deliberation cost J Harb, PL Bacon, M Klissarov, D Precup Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 40 | 2018 |
| Optiongan: Learning joint reward-policy options using generative adversarial inverse reinforcement learning P Henderson, WD Chang, PL Bacon, D Meger, J Pineau, D Precup Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 26 | 2018 |
| Convergent TREE BACKUP and RETRACE with function approximation A Touati, PL Bacon, D Precup, P Vincent arXiv preprint arXiv:1705.09322, 2017 | 18 | 2017 |
| Learnings options end-to-end for continuous action tasks M Klissarov, PL Bacon, J Harb, D Precup arXiv preprint arXiv:1712.00004, 2017 | 14 | 2017 |
| Learning with options that terminate off-policy A Harutyunyan, P Vrancx, PL Bacon, D Precup, A Nowe Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 11 | 2018 |
| Learning with options: Just deliberate and relax PL Bacon, D Precup NIPS Bounded Optimality and Rational Metareasoning Workshop, 2015 | 10 | 2015 |
| Learning robust options DJ Mankowitz, TA Mann, PL Bacon, D Precup, S Mannor Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 8 | 2018 |
| On the bottleneck concept for options discovery: Theoretical underpinnings and extension in continuous state spaces PL Bacon McGill University Libraries, 2014 | 6 | 2014 |
| Using label propagation for learning temporally abstract actions in reinforcement learning PL Bacon, D Precup Proceedings of the Workshop on Multiagent Interaction Networks, 1-7, 2013 | 6 | 2013 |
| Temporal Representation Learning PL Bacon McGill University Libraries, 2018 | 5 | 2018 |
| On the bottleneck concept for options discovery PL Bacon Masters thesis, McGill University, 2013 | 4 | 2013 |
| Constructing temporal abstractions autonomously in reinforcement learning PL Bacon, D Precup Ai Magazine 39 (1), 39-50, 2018 | 3 | 2018 |
| A matrix splitting perspective on planning with options PL Bacon, D Precup arXiv preprint arXiv:1612.00916, 2016 | 3 | 2016 |
| Learning and Planning with Timing Information in Markov Decision Processes. PL Bacon, B Balle, D Precup UAI, 111-120, 2015 | 3 | 2015 |
| Conditional computation in neural networks using a decision-theoretic approach PL Bacon, E Bengio, J Pineau, D Precup Proceedings of the 2nd Multidisciplinary Conference on Reinforcement …, 2015 | 3 | 2015 |
| The Barbados 2018 List of Open Issues in Continual Learning T Schaul, H van Hasselt, J Modayil, M White, A White, PL Bacon, J Harb, ... arXiv preprint arXiv:1811.07004, 2018 | 2 | 2018 |
| Analyzing open data from the city of Montreal J Pineau, PL Bacon | 2 | 2015 |
| Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling Y Liu, PL Bacon, E Brunskill arXiv preprint arXiv:1910.06508, 2019 | 1 | 2019 |
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
