Rémi Munos

2.0k total citations · 1 hit paper
15 papers, 524 citations indexed

About

Rémi Munos is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Rémi Munos has authored 15 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 4 papers in Computer Networks and Communications. Recurrent topics in Rémi Munos's work include Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (6 papers) and Reinforcement Learning in Robotics (5 papers). Rémi Munos is often cited by papers focused on Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (6 papers) and Reinforcement Learning in Robotics (5 papers). Rémi Munos collaborates with scholars based in France, United Kingdom and Canada. Rémi Munos's co-authors include David Saxton, Tom Schaul, Sriram Srinivasan, Marc G. Bellemare, Georg Ostrovski, Emmanuel Gobet, Nathaniel Korda, Tor Lattimore, Emilie Kaufmann and Csaba Szepesvári and has published in prestigious journals such as Journal of Machine Learning Research, SIAM Journal on Control and Optimization and Journal of Computer and System Sciences.

In The Last Decade

Rémi Munos

14 papers receiving 486 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unifying count-based exploration and intrinsic motivation

2016 280 citations Marc G. Bellemare, Sriram Srinivasan et al. Neural Information Processing Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rémi Munos France	9	365	138	69	68	60	15	524
Yang Xiang China	13	175 0.5×	68 0.5×	60 0.9×	22 0.3×	7 0.1×	47	481
V. Viswanathan United States	12	156 0.4×	24 0.2×	168 2.4×	162 2.4×	12 0.2×	71	619
Jürg Kohlas Switzerland	12	381 1.0×	143 1.0×	37 0.5×	4 0.1×	119 2.0×	32	596
Raphaël Féraud France	9	140 0.4×	91 0.7×	82 1.2×	9 0.1×	9 0.1×	22	298
Brendan Juba United States	10	233 0.6×	35 0.3×	45 0.7×	4 0.1×	51 0.8×	35	443
Man Li China	9	187 0.5×	45 0.3×	122 1.8×	7 0.1×	33 0.6×	35	372
Joel B. Predd United States	8	265 0.7×	59 0.4×	30 0.4×	4 0.1×	12 0.2×	21	670
Vinícius Zambaldi United Kingdom	7	285 0.8×	44 0.3×	39 0.6×	2 0.0×	68 1.1×	8	393
Mohammed Kaosar Australia	9	269 0.7×	31 0.2×	37 0.5×	7 0.1×	19 0.3×	38	440
Varun Kanade United States	9	200 0.5×	92 0.7×	40 0.6×	3 0.0×	29 0.5×	36	349

Countries citing papers authored by Rémi Munos

Since Specialization

Citations

This map shows the geographic impact of Rémi Munos'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 Rémi Munos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Munos more than expected).

Fields of papers citing papers by Rémi Munos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rémi Munos. 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 Rémi Munos. The network helps show where Rémi Munos may publish in the future.

Co-authorship network of co-authors of Rémi Munos

This figure shows the co-authorship network connecting the top 25 collaborators of Rémi Munos. A scholar is included among the top collaborators of Rémi Munos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rémi Munos. Rémi Munos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Bellemare, Marc G., Sriram Srinivasan, Georg Ostrovski, et al.. (2016). Unifying count-based exploration and intrinsic motivation. Neural Information Processing Systems. 29. 1479–1487. 280 indexed citations breakdown →

2.

Buşoniu, Lucian, et al.. (2016). Discounted near-optimal control of general continuous-action nonlinear systems using optimistic planning. 2. 203–208. 3 indexed citations

3.

Li, Lihong, Rémi Munos, & Csaba Szepesvári. (2015). {Toward Minimax Off-policy Value Estimation}. International Conference on Artificial Intelligence and Statistics. 608–616. 24 indexed citations

4.

Hanawal, Manjesh K., Venkatesh Saligrama, Michal Vaľko, & Rémi Munos. (2015). Cheap Bandits. 2133–2142. 2 indexed citations

5.

Preux, Pierre‐Marie, Rémi Munos, & Michal Vaľko. (2014). Bandits attack function optimization. 2245–2252. 21 indexed citations

6.

Lattimore, Tor & Rémi Munos. (2014). Bounded Regret for Finite-Armed Structured Bandits. arXiv (Cornell University). 27. 550–558. 17 indexed citations

7.

Buşoniu, Lucian, et al.. (2014). An analysis of optimistic, best-first search for minimax sequential decision making. 1–8. 6 indexed citations

8.

Zoghi, Masrour, Shimon Whiteson, Maarten de Rijke, & Rémi Munos. (2014). Relative confidence sampling for efficient on-line ranker evaluation. UvA-DARE (University of Amsterdam). 73–82. 11 indexed citations

9.

Korda, Nathaniel, L. A. Prashanth, & Rémi Munos. (2013). Online gradient descent for least squares regression: Non-asymptotic bounds and application to bandits.. arXiv (Cornell University). 1 indexed citations

10.

Korda, Nathaniel, et al.. (2013). Finite-Time Analysis of Kernelised Contextual Bandits. LillOA (Université de Lille (University Of Lille)). 2 indexed citations

11.

Korda, Nathaniel, Emilie Kaufmann, & Rémi Munos. (2013). Thompson Sampling for 1-Dimensional Exponential Family Bandits. arXiv (Cornell University). 26. 1448–1456. 28 indexed citations

12.

Lazaric, Alessandro & Rémi Munos. (2012). Learning with stochastic inputs and adversarial outputs. Journal of Computer and System Sciences. 78(5). 1516–1537. 3 indexed citations

13.

Dossal, Charles, et al.. (2006). Numerical Methods for the Pricing of Swing Options: A Stochastic Control Approach. Methodology And Computing In Applied Probability. 8(4). 517–540. 48 indexed citations

14.

Munos, Rémi. (2005). Policy Gradient in Continuous Time. Journal of Machine Learning Research. 7(27). 201–216. 32 indexed citations

15.

Gobet, Emmanuel & Rémi Munos. (2005). Sensitivity Analysis Using Itô--Malliavin Calculus and Martingales, and Application to Stochastic Optimal Control. SIAM Journal on Control and Optimization. 43(5). 1676–1713. 46 indexed citations

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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