Bilal Piot

8.4k citations

12 papers · 2.0k indexed · 2 hit papers · h-index 8

Impact in

Artificial Intelligence top 1%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety

Papers in

Artificial Intelligence 10
- Reinforcement Learning in Robotics 9
- Evolutionary Algorithms and Applications 4
- Speech and dialogue systems 1
- Explainable Artificial Intelligence (XAI) 1
Accounting 1

Co-authors: Tom Schaul Dan Horgan Mohammad Gheshlaghi Azar Will Dabney David Silver Georg Ostrovski Matteo Hessel Hado van Hasselt
Journals: International Conference on Machine Learning (2 papers)arXiv (Cornell University) (5 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Lancaster EPrints (Lancaster University) (1 paper)
Partner nations: United Kingdom United States France

In The Last Decade

Bilal Piot

11 papers receiving 1.9k citations

Hit Papers

align trajectories log scale

Rainbow: Combining Improvements in Deep Reinforcement Learning 2018 · 995 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Proceedings of the AAAI Conference on Artificial Intelligence
2018 Proceedings of the AAAI Conference on Artificial Intelligence

Peers

Countries citing papers authored by Bilal Piot

Since Specialization

Citations

This map shows the geographic impact of Bilal Piot's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bilal Piot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bilal Piot more than expected).

Fields of papers citing papers by Bilal Piot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bilal Piot. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bilal Piot. The network helps show where Bilal Piot may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Bilal Piot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bilal Piot Line = papers co-authored together Bilal Piot links everyone, so they are left out of the graph.

All Works

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12 of 12 papers shown

#	Work
1	Agent57: Outperforming the Atari Human Benchmark International Conference on Machine Learning ·Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Valérie Honoré-Castellin, Zhaohan Daniel Guo, Charles Blundell	2020	71
2	Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning International Conference on Machine Learning ·Zhaohan Daniel Guo, Bernardo Ávila Pires, Mohammad Gheshlaghi Azar, Bilal Piot, Florent Altché, Jean-Bastien Grill, Rémi Munos	2020	4
3	Observational Learning by Reinforcement Learning Diana Borsa, Nicolas Heess, Bilal Piot, Siqi Liu, Leonard Hasenclever, Rémi Munos, Olivier Pietquin	2019	6
4	Nouvelles donnees sur lesvoies de migration et les quartiers d'hiver du pouillot iberique phylloscopus ibericus Lancaster EPrints (Lancaster University) ·Paul Isenmann, Bilal Piot, Stuart P. Sharp	2019	0
5	Hindsight Credit Assignment arXiv (Cornell University) ·Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado P. van Hasselt, Largu Ma, Satinder Singh, Doina Precup, Rémi Munos	2019	3
6	Noisy Networks For Exploration arXiv (Cornell University) ·Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian Osband, Alexander Graves, CJDG Barbosa, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg	2018	115
7	Rainbow: Combining Improvements in Deep Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence ·Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver Hit paper breakdown →	2018	995
8	Deep Q-learning From Demonstrations Proceedings of the AAAI Conference on Artificial Intelligence ·Todd Hester, Jawaz Alam, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Lt Col Khawaja Khalid Shoaib, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Z. Leibo, Audrūnas Gruslys Hit paper breakdown →	2018	485
9	End-to-end optimization of goal-driven and visually grounded dialogue systems Florian Strub, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron Courville, Olivier Pietquin	2017	36
10	Rainbow: Combining Improvements in Deep Reinforcement Learning arXiv (Cornell University) ·Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, XU Weilang, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver	2017	146
11	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning arXiv (Cornell University) ·Audrūnas Gruslys, Will Dabney, Mohammad Gheshlaghi Azar, Bilal Piot, Marc G. Bellemare, Rémi Munos	2017	15
12	Deep Q-learning from Demonstrations arXiv (Cornell University) ·Todd Hester, Jawaz Alam, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Lt Col Khawaja Khalid Shoaib, Gabriel Dulac-Arnold, Ian Osband, John Agapiou, Joel Z. Leibo, Audrūnas Gruslys	2017	123

About Bilal Piot

Bilal Piot is a scholar working on Artificial Intelligence, Accounting, Economics and Econometrics, Ecology, Evolution, Behavior and Systematics and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 2.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (9 papers), Evolutionary Algorithms and Applications (4 papers), Sports Analytics and Performance (2 papers), Avian ecology and behavior (1 paper), Modular Robots and Swarm Intelligence (1 paper), Speech and dialogue systems (1 paper), Software Engineering Research (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Artificial Intelligence (1.2k citations), Automotive Engineering (252 citations), Control and Systems Engineering (415 citations), Computer Vision and Pattern Recognition (348 citations) and Computer Networks and Communications (334 citations). Bilal Piot has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Tom Schaul, Dan Horgan, Mohammad Gheshlaghi Azar, Will Dabney, David Silver, Georg Ostrovski, Matteo Hessel, Hado van Hasselt, Joseph Modayil and Olivier Pietquin. Their work appears in journals such as International Conference on Machine Learning, arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Lancaster EPrints (Lancaster University).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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