Pierre-Luc Bacon

2312.14331v220232024 Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research 238:2593-2601

Course Correcting Koopman Representations

Mahan Fathi, Clement Gehring, Jonathan Pilault et al.

1 citation

2310.15386v22023arXiv

Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Martin Klissarov, Pierluca D'Oro, Shagun Sodhani et al.

8 citations

2310.00166v12023arXiv

Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control

Nate Rahn, Pierluca D'Oro, Harley Wiltzer et al.

0 citations

2309.14597v32023arXiv

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment

Tianwei Ni, Michel Ma, Benjamin Eysenbach et al.

7 citations

2307.03864v42023arXiv

Block-State Transformers

Mahan Fathi, Jonathan Pilault, Orhan Firat et al.

1 citation

2306.09539v42023arXiv

Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design

Julien Roy, Pierre-Luc Bacon, Christopher Pal et al.

1 citation

2306.04620v22023arXiv

Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization

Leo Feng, Padideh Nouri, Aneri Muni et al.

2 citations

2209.06259v12022arXiv

The Primacy Bias in Deep Reinforcement Learning

Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro et al.

37 citations

2205.07802v12022arXiv

Continuous-Time Meta-Learning with Forward Mode Differentiation

Tristan Deleu, David Kanaa, Leo Feng et al.

6 citations

2203.01443v12022arXiv

Myriad: a real-world testbed to bridge trajectory optimization and deep learning

Nikolaus H. R. Howe, Simon Dufort-Labb'e, Nitarshan Rajkumar et al.

0 citations

2202.10600v22022arXiv

Direct Behavior Specification via Constrained Reinforcement Learning

Julien Roy, Roger Girgis, Joshua Romoff et al.

8 citations

2112.12228v62021arXiv

Neural Algorithmic Reasoners are Implicit Planners

Andreea Deac, Petar Velickovi'c, Ognjen Milinkovi'c et al.

0 citations

2110.05442v12021arXiv

Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation

Evgenii Nikishin, Romina Abachi, Rishabh Agarwal et al.

8 citations

2106.03273v12021arXiv

An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning

Dilip Arumugam, Peter Henderson, Pierre-Luc Bacon

8 citations

2103.06224v12021arXiv

XLVIN: eXecuted Latent Value Iteration Nets

Andreea Deac, Petar Velickovi'c, Ognjen Milinkovi'c et al.

11 citations

2010.13146v22020arXiv

Graph neural induction of value iteration

Andreea Deac, Pierre-Luc Bacon, Jian Tang

5 citations

2009.12604v12020arXiv

TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?

Joshua Romoff, Peter Henderson, David Kanaa et al.

2 citations

2007.02786v12020arXiv

Policy Evaluation Networks

Jean Harb, Tom Schaul, Doina Precup et al.

14 citations

2002.11833v12020arXiv

Options of Interest: Temporal Abstraction with Interest Functions

Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert et al.

23 citations

2001.00271v12020arXiv

Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods

Riashat Islam, Raihan Seraj, Pierre-Luc Bacon et al.

6 citations

1912.05104v12019arXiv

All-Action Policy Gradient Methods: A Numerical Integration Approach

Benjamin Petit, Loren Amdahl-Culleton, Yao Liu et al.

0 citations

1910.09093v12019arXiv

Career total: 74 works. 61 are in this corpus.Showing the 50 most recent.

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Year	Papers
2015	1
2016	2
2017	5
2018	2
2019	3
2020	5
2021	4
2022	4
2023	7
2024	7
2025	10
2026	11