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Aske Plaat — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Aske Plaat
28
papers ·
178
citations ·
26
h-index
Leiden University · University of Applied Sciences Leiden · Netherlands Institute for Advanced Study in the Humanities and Social Sciences
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Most-cited papers
Model-based Reinforcement Learning: A Survey
2020 · 83 citations
A0C: Alpha Zero in Continuous Action Space
2018 · 20 citations
Monte Carlo Q-learning for General Game Playing
2018 · 14 citations
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
2021 · 14 citations
Multi-Step Reasoning with Large Language Models, a Survey
2024 · 13 citations
Deep Multiagent Reinforcement Learning: Challenges and Directions
2021 · 10 citations
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
2020 · 7 citations
High-Accuracy Model-Based Reinforcement Learning, a Survey
2021 · 5 citations
Assessing the Potential of Classical Q-learning in General Game Playing
2018 · 2 citations
Visualizing MuZero Models
2021 · 2 citations
Two-Memory Reinforcement Learning
2023 · 2 citations
Reinforcement Learning for Sustainable Energy: A Survey
2024 · 2 citations
A Unifying Framework for Reinforcement Learning and Planning
2020 · 1 citations
Potential-based Reward Shaping in Sokoban
2021 · 1 citations
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
2022 · 1 citations
Top co-authors
Thomas M. Moerland
· 11
Mike Preuss
· 7
Zhao Yang
· 5
Joost Broekens
· 4
Koen Ponse
· 4
Mike Preuß
· 4
Annie Wong
· 3
Catholijn M. Jonker
· 3
Hui Wang
· 3
Michael Emmerich
· 3
Thomas Moerland
· 3
\'Alvaro Serra-G\'omez
· 2
Topics
Model-Based RL
Game AI
Value-Based
Exploration
Multi-Agent
Meta-RL
Offline RL
Safe RL
Policy Gradient
RLHF & Alignment