Kavosh Asadi

651 total citations
8 papers, 215 citations indexed

About

Kavosh Asadi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Kavosh Asadi has authored 8 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Computer Networks and Communications. Recurrent topics in Kavosh Asadi's work include Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (2 papers) and Advanced Bandit Algorithms Research (2 papers). Kavosh Asadi is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (2 papers) and Advanced Bandit Algorithms Research (2 papers). Kavosh Asadi collaborates with scholars based in United States, United Kingdom and Mexico. Kavosh Asadi's co-authors include J. D. Williams, Geoffrey Zweig, Michael L. Littman, George Konidaris, Lawson L. S. Wong, David Abel and Ronald Parr and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Adaptive Agents and Multi-Agents Systems.

In The Last Decade

Kavosh Asadi

8 papers receiving 199 citations

Peers

Kavosh Asadi

AI

CVPR

CNC

EEE

CSE

Dongho Kim United Kingdom

Jiayuan Mao China

Daniel J. Fremont United States

Giuseppe Marra Belgium

G. Sivakumar India

Prajit Ramachandran United States

Panagiotis Kouvaros United Kingdom

Justin Chiu United States

Ximeng Sun United States

Markku–Juhani O. Saarinen United Kingdom

Dongho Kim United Kingdom

Kavosh Asadi

140 ×0.7

AI

22 ×0.6

CVPR

36 ×1.9

CNC

8 ×0.5

EEE

11 ×0.8

CSE

Citations per year, relative to Kavosh Asadi Kavosh Asadi (= 1×) peers Dongho Kim

Countries citing papers authored by Kavosh Asadi

Since Specialization

Citations

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

Fields of papers citing papers by Kavosh Asadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavosh Asadi

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

8 of 8 papers shown

1.

Asadi, Kavosh, et al.. (2021). Deep Radial-Basis Value Functions for Continuous Control. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6696–6704. 10 indexed citations

2.

Asadi, Kavosh, et al.. (2020). Deep Radial-Basis Value Functions for Continuous Control. arXiv (Cornell University). 35(8). 6696–6704. 2 indexed citations

3.

Asadi, Kavosh, et al.. (2019). Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. Adaptive Agents and Multi-Agents Systems. 2060–2062. 3 indexed citations

4.

Asadi, Kavosh, et al.. (2019). DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. 2733–2739. 30 indexed citations

5.

Abel, David, et al.. (2019). State Abstraction as Compression in Apprenticeship Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3134–3142. 14 indexed citations

6.

Williams, J. D., Kavosh Asadi, & Geoffrey Zweig. (2017). Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning. 665–677. 151 indexed citations

7.

Asadi, Kavosh & Michael L. Littman. (2016). A New Softmax Operator for Reinforcement Learning.. arXiv (Cornell University). 1 indexed citations

8.

Asadi, Kavosh. (2016). Strengths, Weaknesses, and Combinations of Model-based and Model-free Reinforcement Learning. University of Alberta Library. 4 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