Ashkan Zehfroosh

Computer ScienceEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Non-Smooth Control Barrier Navigation Functions for STL Motion Planning”.

Non-Smooth Control Barrier Navigation Functions for STL Motion Planning

Frontiers in Robotics and AI(2022)10.3389/frobt.2022.782783

N/A

0.345DataRank · unranked

9 citations

Herbert G. Tanner, Ashkan Zehfroosh

PAC Reinforcement Learning Algorithm for General-Sum Markov Games

IEEE Transactions on Automatic Control(2022)10.1109/tac.2022.3219340

N/A

0.312DataRank · unranked

7 citations

Herbert G. Tanner, Ashkan Zehfroosh

A Hybrid PAC Reinforcement Learning Algorithm for Human-Robot Interaction

Frontiers in Robotics and AI(2022)10.3389/frobt.2022.797213

N/A

0.208DataRank · unranked

3 citations

Herbert G. Tanner, Ashkan Zehfroosh

GEARing smart environments for pediatric motor rehabilitation

Journal of NeuroEngineering and Rehabilitation(2020)10.1186/s12984-020-0647-0

N/A

0DataRank · unranked

40 citations

Effrosyni Mavroudi, Ashkan Zehfroosh, James C. Galloway, Renè Vidal, Jeffrey Heinz +2 more