About
Discord Stateoftheart AI
GitHub

Publications

32

Cited by

759

Pierre-Luc Bacon

reinforcement learningartificial intelligence
McGill University

Canada

Papers and Citations

1 - 50
The option-critic architecture
2017
Doina Precup
Pierre-Luc Bacon
Jean Harb
Cited by 465
Conditional computation in neural networks for faster models
2015
Emmanuel Bengio
Pierre-Luc Bacon
Doina Precup
+1
Cited by 143
When waiting is not an option: Learning options with a deliberation cost
2017
Doina Precup
Jean Harb
Martin Klissarov
+1
Cited by 59
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
2018
Joelle Pineau
David Meger
Pierre-Luc Bacon
+3
Cited by 33
Learning robust options
2018
Pierre-Luc Bacon
Shie Mannor
Timothy A Mann
+2
Cited by 27
Convergent TREE BACKUP and RETRACE with function approximation
2018
Ahmed Touati
Doina Precup
Pierre-Luc Bacon
+1
Cited by 25
Learnings options end-to-end for continuous action tasks
2017
Martin Klissarov
Doina Precup
Jean Harb
+1
Cited by 20
Learning with options that terminate off-policy
2017
Peter Vrancx
Doina Precup
Nowe Ann
+2
Cited by 15
Temporal Representation Learning
2018
Pierre-Luc Bacon
Cited by 13
Options of interest: Temporal abstraction with interest functions
2020
Pierre-Luc Bacon
Martin Klissarov
Maxime Chevalier-Boisvert
+2
Cited by 11
Learning with options: Just deliberate and relax
2015
Doina Precup
Pierre-Luc Bacon
Cited by 10
On the bottleneck concept for options discovery: Theoretical underpinnings and extension in continuous state spaces
2014
Pierre-Luc Bacon
Cited by 8
On the bottleneck concept for options discovery
2013
Pierre-Luc Bacon
Cited by 6
Using label propagation for learning temporally abstract actions in reinforcement learning
2013
Doina Precup
Pierre-Luc Bacon
Cited by 6
Xlvin: executed latent value iteration nets
2020
O Milinković
Petar Veličković
Pierre-Luc Bacon
+1
Cited by 5
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
2019
Pierre-Luc Bacon
Emma Brunskill
Yao Liu
Cited by 5
Graph neural induction of value iteration
2020
J Tang
Andreea Deac
Pierre-Luc Bacon
Cited by 4
Entropy regularization with discounted future state distribution in policy gradient methods
2019
Raihan Seraj
Pierre-Luc Bacon
Doina Precup
+1
Cited by 4
Conditional computation in neural networks using a decision-theoretic approach
2015
Pierre-Luc Bacon
Doina Precup
Joelle Pineau
+1
Cited by 4
The Barbados 2018 list of open issues in continual learning
2018
Shibl Mourad
Pierre-Luc Bacon
Martha White
+7
Cited by 3
Constructing temporal abstractions autonomously in reinforcement learning
2018
Doina Precup
Pierre-Luc Bacon
Cited by 3
A matrix splitting perspective on planning with options
2016
Doina Precup
Pierre-Luc Bacon
Cited by 3
Learning and Planning with Timing Information in Markov Decision Processes.
2015
Doina Precup
Borja Balle
Pierre-Luc Bacon
Cited by 3
Analyzing open data from the city of Montreal
2015
Joelle Pineau
Pierre-Luc Bacon
Cited by 2
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning
2021
Pierre-Luc Bacon
Dilip Arumugam
Peter Henderson
Cited by 1
Policy Evaluation Networks
2020
Pierre-Luc Bacon
Jean Harb
Tom Schaul
+1
Cited by 1
Reinforcement learning of conditional computation policies for neural networks
2016
Ryan Lowe
Doina Precup
Emmanuel Bengio
+2
Cited by 1
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?
2020
Peter Henderson
Joshua Romoff
Joelle Pineau
+4
Cited by 1
A Lagrangian Method for Inverse Problems in Reinforcement Learning
F Schäfer
Emma Brunskill
Pierre-Luc Bacon
+2
Cited by
All-Action Policy Gradient Methods: A Numerical Integration Approach
2019
L Amdahl-Culleton
J Smith
Benjamin Petit
+2
Cited by
Asynchronous Advantage Option-Critic with Deliberation Cost
2017
Pierre-Luc Bacon
Jean Harb
Doina Precup
Cited by
Predictive Timing Models
Doina Precup
Pierre-Luc Bacon
Borja Balle
Cited by