Eshagh Kargar

Research activity per year

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Dive into the research topics where Eshagh Kargar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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3 Article
1 Conference article in proceedings

MACRPO: Multi-agent cooperative recurrent policy optimization
Kargar, E. & Kyrki, V., 2024, In: Frontiers in Robotics and AI. 11, 15 p., 1394209.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
5 Downloads (Pure)
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning
Kargar, E. & Kyrki, V., Sept 2022, In: IEEE Transactions on Intelligent Vehicles. 7, 3, p. 701-710 10 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
10 Citations (Scopus)

80 Downloads (Pure)
Vision Transformer for Learning Driving Policies in Complex and Dynamic Environments
Kargar, E. & Kyrki, V., 19 Jul 2022, 2022 IEEE Intelligent Vehicles Symposium, IV 2022. IEEE, p. 1558-1564 7 p. (IEEE Intelligent Vehicles Symposium, Proceedings; vol. 2022-June).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
5 Citations (Scopus)

169 Downloads (Pure)
Using an encoder-decoder convolutional neural network to predict the solid holdup patterns in a pseudo-2d fluidized bed
Bazai, H., Kargar, E. & Mehrabi, M., 31 Dec 2021, In: Chemical Engineering Science. 246, 7 p., 116886.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
30 Citations (Scopus)

106 Downloads (Pure)

1 Finished

-: Interactive Perception-Action-Learning for Modelling Objects
Abu-Dakka, F. (Project Member), Kyrki, V. (Principal investigator), Kargar, E. (Project Member) & Nguyen Le, T. (Project Member)
01/05/2019 → 30/11/2022
Project: Academy of Finland: Other research funding

Eshagh Kargar

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

MACRPO: Multi-agent cooperative recurrent policy optimization

Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning

Vision Transformer for Learning Driving Policies in Complex and Dynamic Environments

Using an encoder-decoder convolutional neural network to predict the solid holdup patterns in a pseudo-2d fluidized bed

-: Interactive Perception-Action-Learning for Modelling Objects

Eshagh Kargar

Fingerprint

Collaborations and top research areas from the last five years

Research output

MACRPO: Multi-agent cooperative recurrent policy optimization

Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning

Vision Transformer for Learning Driving Policies in Complex and Dynamic Environments

Using an encoder-decoder convolutional neural network to predict the solid holdup patterns in a pseudo-2d fluidized bed

Projects

-: Interactive Perception-Action-Learning for Modelling Objects