Gabriel Barth-Maron

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dblp:162/9907 · DBLP profile ↗

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3ranked-venue papers

1as first author

0since 2021 · last 2020

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence

3 papers

Reinforcement learning · 85% Robot manipulation · 15%

Topics — the 7 heaviest of 7, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Reinforcement learning › large-scale reinforcement learning distributed reinforcement learning	0.7	2	2018	Distributed Prioritized Experience Replay · ICLR (Poster) 2018 Distributed Distributional Deterministic Policy Gradients · ICLR (Poster) 2018
Machine learning › Reinforcement learning exploration	0.4	1	2020	Making Efficient Use of Demonstrations to Solve Hard Exploration Problems · ICLR 2020
Machine learning › Reinforcement learning › exploration › exploration in markov decision processes hard exploration	0.4	1	2020	Making Efficient Use of Demonstrations to Solve Hard Exploration Problems · ICLR 2020
Robotics › Robot manipulation learning from demonstration	0.4	1	2020	Making Efficient Use of Demonstrations to Solve Hard Exploration Problems · ICLR 2020
Machine learning › Reinforcement learning › policy optimization › policy gradient deterministic policy gradient	0.3	1	2018	Distributed Distributional Deterministic Policy Gradients · ICLR (Poster) 2018
Machine learning › Reinforcement learning › off-policy reinforcement learning experience replay	0.3	1	2018	Distributed Prioritized Experience Replay · ICLR (Poster) 2018
Machine learning › Reinforcement learning › off-policy reinforcement learning › experience replay prioritized experience replay	0.3	1	2018	Distributed Prioritized Experience Replay · ICLR (Poster) 2018

Methods — techniques the papers use, named apart from their topics

demonstration-based learning · 0.4prioritized experience replay · 0.3distributional value function · 0.3distributed training · 0.3

Year	Publication	Venue	Position
2020	Making Efficient Use of Demonstrations to Solve Hard Exploration Problems Caglar Gulcehre, Tom Le Paine, Bobak Shahriari, Misha Denil, Matt Hoffman 0001, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang 0001, Nando de Freitas	ICLR	11
2018	Distributed Distributional Deterministic Policy Gradients Gabriel Barth-Maron, Matt Hoffman 0001, David Budden, Will Dabney, Daniel Horgan, Dhruva TB, Alistair Muldal, Nicolas Heess, Timothy P. Lillicrap	ICLR (Poster)	1
2018	Distributed Prioritized Experience Replay Daniel Horgan, John Quan, David Budden, Gabriel Barth-Maron, Matteo Hessel, Hado van Hasselt, David Silver 0001	ICLR (Poster)	4