Pierre-Luc Bacon
Pierre-Luc Bacon
University of Montreal
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
The option-critic architecture
PL Bacon, J Harb, D Precup
Thirty-First AAAI Conference on Artificial Intelligence, 2017
3972017
Conditional computation in neural networks for faster models
E Bengio, PL Bacon, J Pineau, D Precup
arXiv preprint arXiv:1511.06297, 2015
1222015
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
472018
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
282018
Convergent TREE BACKUP and RETRACE with function approximation
A Touati, PL Bacon, D Precup, P Vincent
International Conference on Machine Learning, 4955-4964, 2018
202018
Learnings options end-to-end for continuous action tasks
M Klissarov, PL Bacon, J Harb, D Precup
arXiv preprint arXiv:1712.00004, 2017
152017
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
142018
Learning robust options
DJ Mankowitz, TA Mann, PL Bacon, D Precup, S Mannor
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
132018
Learning with options: Just deliberate and relax
PL Bacon, D Precup
NIPS Bounded Optimality and Rational Metareasoning Workshop, 2015
102015
On the bottleneck concept for options discovery: Theoretical underpinnings and extension in continuous state spaces
PL Bacon
McGill University Libraries, 2014
62014
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
62013
Temporal Representation Learning
PL Bacon
McGill University Libraries, 2018
52018
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
42015
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
32018
Constructing temporal abstractions autonomously in reinforcement learning
PL Bacon, D Precup
Ai Magazine 39 (1), 39-50, 2018
32018
A matrix splitting perspective on planning with options
PL Bacon, D Precup
arXiv preprint arXiv:1612.00916, 2016
32016
Learning and Planning with Timing Information in Markov Decision Processes.
PL Bacon, B Balle, D Precup
UAI, 111-120, 2015
32015
On the bottleneck concept for options discovery
PL Bacon
Masters thesis, McGill University, 2013
32013
Options of Interest: Temporal Abstraction with Interest Functions
K Khetarpal, M Klissarov, M Chevalier-Boisvert, PL Bacon, D Precup
arXiv preprint arXiv:2001.00271, 2020
22020
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
22019
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