Robert Dadashi

1.4k total citations
7 papers, 46 citations indexed

About

Robert Dadashi is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Robert Dadashi has authored 7 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Control and Systems Engineering. Recurrent topics in Robert Dadashi's work include Reinforcement Learning in Robotics (3 papers), Human Pose and Action Recognition (1 paper) and Machine Learning and Data Classification (1 paper). Robert Dadashi is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Human Pose and Action Recognition (1 paper) and Machine Learning and Data Classification (1 paper). Robert Dadashi collaborates with scholars based in United States, Canada and United Kingdom. Robert Dadashi's co-authors include Will Dabney, Marc G. Bellemare, Mark Rowland, Nino Vieillard, Saurabh Kumar, Léonard Hussenot, Matthieu Geist, Rémi Munos, Olivier Bachem and Olivier Pietquin and has published in prestigious journals such as Neurophysiologie Clinique, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Robert Dadashi

6 papers receiving 43 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Dadashi United States	5	30	5	4	4	4	7	46
Afroz Mohiuddin United States	3	26 0.9×	2 0.4×	6 1.5×	3 0.8×	7 1.8×	3	35
Abulhair Saparov United States	3	13 0.4×	6 1.2×	4 1.0×		2 0.5×	9	21
Lavender Yao Jiang United States	4	13 0.4×	10 2.0×	3 0.8×	2 0.5×	3 0.8×	5	40
Tingchen Fu China	4	45 1.5×	2 0.4×	2 0.5×	2 0.5×	6 1.5×	8	67
Piotr Stańczyk Poland	3	31 1.0×	2 0.4×		6 1.5×	3 0.8×	7	43
Clare Lyle United Kingdom	4	24 0.8×	1 0.2×	4 1.0×	5 1.3×	5 1.3×	9	32
Boris Hanin United States	4	45 1.5×	7 1.4×	2 0.5×	3 0.8×	10 2.5×	6	58
Anton Raichuk United States	2	29 1.0×	4 0.8×		7 1.8×	8 2.0×	3	36
Noah Fiedel	2	29 1.0×	3 0.6×	2 0.5×	5 1.3×	11 2.8×	2	52
Mohammad Malekzadeh United Kingdom	4	30 1.0×	5 1.0×	3 0.8×		10 2.5×	9	46

Countries citing papers authored by Robert Dadashi

Since Specialization

Citations

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

Fields of papers citing papers by Robert Dadashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Dadashi

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Dadashi. A scholar is included among the top collaborators of Robert Dadashi 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 Robert Dadashi. Robert Dadashi 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:

7 of 7 papers shown

1.

Ferret, Johan, Lior Shani, Roee Aharoni, et al.. (2023). Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. 6252–6272. 10 indexed citations

2.

Dadashi, Robert, Nino Vieillard, Léonard Hussenot, et al.. (2022). Offline Reinforcement Learning as Anti-exploration. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 8106–8114. 9 indexed citations

3.

Hussenot, Léonard, Marcin Andrychowicz, Damien Vincent, et al.. (2021). Hyperparameter Selection for Imitation Learning. arXiv (Cornell University). 4511–4522.

4.

Bellemare, Marc G., Will Dabney, Robert Dadashi, et al.. (2019). A Geometric Perspective on Optimal Representations for Reinforcement Learning. Neural Information Processing Systems. 32. 4358–4369. 8 indexed citations

5.

Rowland, Mark, Robert Dadashi, Saurabh Kumar, et al.. (2019). Statistics and Samples in Distributional Reinforcement Learning. arXiv (Cornell University). 5528–5536. 13 indexed citations

6.

Dadashi, Robert, et al.. (2019). The Value Function Polytope in Reinforcement Learning. arXiv (Cornell University). 1486–1495. 1 indexed citations

7.

Oudre, Laurent, Thomas Moreau, Charles Truong, et al.. (2015). Détection automatique des pas à partir de capteurs inertiels pour la quantification de la marche en consultation. Neurophysiologie Clinique. 45(4-5). 394–394. 5 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.

Explore authors with similar magnitude of impact