Efficient Latent Representations using Multiple Tasks for Autonomous Driving. - Eshagh Kargar; Ville Kyrki (CoRR, 2020)

Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments. - Eshagh Kargar; Ville Kyrki (CoRR, 2021)

Vision Transformer for Learning Driving Policies in Complex and Dynamic Environments. - Eshagh Kargar; Ville Kyrki (IV, 2022)

Learning Based High-Level Decision Making for Abortable Overtaking in Autonomous Vehicles. - Ehsan Malayjerdi; Gokhan Alcan; Eshagh Kargar; Hatem Darweesh; Raivo Sell; Ville Kyrki (CoRR, 2022)

Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning. - Eshagh Kargar; Ville Kyrki (IEEE Trans. Intell. Veh., 2022)

COSBO: Conservative Offline Simulation-Based Policy Optimization. - Eshagh Kargar; Ville Kyrki (CoRR, 2024)

MACRPO: Multi-agent cooperative recurrent policy optimization. - Eshagh Kargar; Ville Kyrki (Frontiers Robotics AI, 2024)