3 papers
cs.LG2022
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning
Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava
In many real-world problems, the learning agent needs to learn a problem's abstractions and solution simultaneously. However, most such abstractions need to be designed and refined…
cs.RO2020
Design and Implementation of a Maxi-Sized Mobile Robot (Karo) for Rescue Missions
Soheil Habibian, Mehdi Dadvar, Behzad Peykari +4
Rescue robots are expected to carry out reconnaissance and dexterity operations in unknown environments comprising unstructured obstacles. Although a wide variety of designs and im…
cs.MA2019
Multi-Agent Task Allocation in Complementary Teams: A Hunter and Gatherer Approach
Mehdi Dadvar, Saeed Moazami, Harley R. Myler +1
Consider a dynamic task allocation problem, where tasks are unknowingly distributed over an environment. This paper considers each task comprised of two sequential subtasks: detect…