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Pierre-Luc Bacon — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Pierre-Luc Bacon
33
papers ·
59
citations ·
1
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
The Primacy Bias in Deep Reinforcement Learning
2022 · 14 citations
Convergent Tree Backup and Retrace with Function Approximation
2017 · 8 citations
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
2019 · 8 citations
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods
2019 · 7 citations
Graph neural induction of value iteration
2020 · 6 citations
XLVIN: eXecuted Latent Value Iteration Nets
2020 · 6 citations
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
2023 · 2 citations
Bridging State and History Representations: Understanding Self-Predictive RL
2024 · 1 citations
Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors
2026
Representation Learning Enables Scalable Multitask Deep Reinforcement Learning
2026
Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
2026
Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
2026
What Makes Value Learning Efficient in Residual Reinforcement Learning?
2026
Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
2025
The Three Regimes of Offline-to-Online Reinforcement Learning
2025
Top co-authors
Lu Li
· 6
Doina Precup
· 5
Pierluca D'Oro
· 4
Aaron Courville
· 3
Dacheng Tao
· 3
Guozheng Ma
· 3
Benjamin Eysenbach
· 2
Jian Tang
· 2
Johan Obando-Ceron
· 2
Pablo Samuel Castro
· 2
Pascal Vincent
· 2
Yao Liu
· 2
Topics
Model-Based RL
Value-Based
Policy Gradient
Meta-RL
Exploration
cs.LG
Offline RL
Safe RL
cs.AI
Game AI