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Romain Laroche — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Romain Laroche
28
papers ·
393
citations ·
17
h-index
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Most-cited papers
Hybrid Reward Architecture for Reinforcement Learning
2017 · 188 citations
Safe Policy Improvement with Baseline Bootstrapping
2017 · 83 citations
Counting to Explore and Generalize in Text-based Games
2018 · 52 citations
Multi-Advisor Reinforcement Learning
2017 · 14 citations
Budgeted Reinforcement Learning in Continuous State Space
2019 · 9 citations
Separation of Concerns in Reinforcement Learning
2016 · 7 citations
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
2021 · 5 citations
Think Before You Act: Decision Transformers with Working Memory
2023 · 5 citations
When does return-conditioned supervised learning work for offline reinforcement learning?
2022 · 4 citations
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
2022 · 4 citations
Reinforcement Learning Algorithm Selection
2017 · 3 citations
Behavior Prior Representation learning for Offline Reinforcement Learning
2022 · 3 citations
On the Convergence of SARSA with Linear Function Approximation
2022 · 2 citations
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning
2022 · 2 citations
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
2023 · 2 citations
Top co-authors
Remi Tachet Des Combes
· 6
Harm van Seijen
· 4
Hongyu Zang
· 4
Riashat Islam
· 4
Joshua Romoff
· 3
Mehdi Fatemi
· 3
Remi Tachet
· 3
R\'emi Tachet des Combes
· 3
Xin Li
· 3
Adam Trischler
· 2
David Brandfonbrener
· 2
Jacob Buckman
· 2
Topics
Offline RL
Value-Based
Model-Based RL
Safe RL
Multi-Agent
Meta-RL
Exploration
Game AI
Policy Gradient