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Bryan Lim — most-cited papers & profile · Reinforcement Learning
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overview
Bryan Lim
14
papers ·
267
citations ·
12
h-index
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Most-cited papers
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
2023 · 10 citations
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
2022 · 6 citations
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning
2023 · 6 citations
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms
2023 · 1 citations
Efficient Exploration using Model-Based Quality-Diversity with Gradients
2022
Top co-authors
Antoine Cully
· 5
Manon Flageat
· 4
Arthur Flajolet
· 2
Felix Chalumeau
· 2
Maxime Allard
· 2
Raphael Boige
· 2
Thomas Pierrot
· 2
Valentin Mac\'e
· 2
Luca Grillotti
· 1
Topics
Exploration
Policy Gradient
Value-Based
Meta-RL
Model-Based RL