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Matteo Hessel โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Matteo Hessel
21
papers ยท
1540
citations ยท
22
h-index
Google DeepMind (United Kingdom) ยท Google (United Kingdom)
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Rainbow: Combining Improvements in Deep Reinforcement Learning
2017 ยท 428 citations
Distributed Prioritized Experience Replay
2018 ยท 415 citations
Deep Reinforcement Learning and the Deadly Triad
2018 ยท 111 citations
Learning values across many orders of magnitude
2016 ยท 87 citations
Observe and Look Further: Achieving Consistent Performance on Atari
2018 ยท 87 citations
When to use parametric models in reinforcement learning?
2019 ยท 63 citations
Discovering Reinforcement Learning Algorithms
2020 ยท 62 citations
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
2019 ยท 57 citations
Discovery of Useful Questions as Auxiliary Tasks
2019 ยท 38 citations
Behaviour Suite for Reinforcement Learning
2019 ยท 36 citations
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
2020 ยท 36 citations
A Self-Tuning Actor-Critic Algorithm
2020 ยท 32 citations
Multi-task Deep Reinforcement Learning with PopArt
2018 ยท 24 citations
What Can Learned Intrinsic Rewards Capture?
2019 ยท 5 citations
Discovery of Options via Meta-Learned Subgoals
2021 ยท 5 citations
Top co-authors
Hado van Hasselt
ยท 15
David Silver
ยท 12
Zhongwen Xu
ยท 7
Junhyuk Oh
ยท 6
Satinder Singh
ยท 6
John Quan
ยท 3
Tom Zahavy
ยท 3
Vivek Veeriah
ยท 3
Bilal Piot
ยท 2
Dan Horgan
ยท 2
David Budden
ยท 2
Gabriel Barth-Maron
ยท 2
Topics
Value-Based
Game AI
Meta-RL
Exploration
Offline RL
Policy Gradient
Model-Based RL
Multi-Agent