Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Chalaki, Behdad"'
Autor:
Lin, Muhan, Shi, Shuyang, Guo, Yue, Chalaki, Behdad, Tadiparthi, Vaishnav, Pari, Ehsan Moradi, Stepputtis, Simon, Campbell, Joseph, Sycara, Katia
The correct specification of reward models is a well-known challenge in reinforcement learning. Hand-crafted reward functions often lead to inefficient or suboptimal policies and may not be aligned with user values. Reinforcement learning from human
Externí odkaz:
http://arxiv.org/abs/2410.17389
Autor:
Li, Huao, Mahjoub, Hossein Nourkhiz, Chalaki, Behdad, Tadiparthi, Vaishnav, Lee, Kwonjoon, Moradi-Pari, Ehsan, Lewis, Charles Michael, Sycara, Katia P
Multi-Agent Reinforcement Learning (MARL) methods have shown promise in enabling agents to learn a shared communication protocol from scratch and accomplish challenging team tasks. However, the learned language is usually not interpretable to humans
Externí odkaz:
http://arxiv.org/abs/2409.17348
Addressing safe and efficient interaction between connected and automated vehicles (CAVs) and human-driven vehicles in a mixed-traffic environment has attracted considerable attention. In this paper, we develop a framework for stochastic time-optimal
Externí odkaz:
http://arxiv.org/abs/2311.00126
Autor:
Knaup, Jacob, D'sa, Jovin, Chalaki, Behdad, Naes, Tyler, Mahjoub, Hossein Nourkhiz, Moradi-Pari, Ehsan, Tsiotras, Panagiotis
Merging into dense highway traffic for an autonomous vehicle is a complex decision-making task, wherein the vehicle must identify a potential gap and coordinate with surrounding human drivers, each of whom may exhibit diverse driving behaviors. Many
Externí odkaz:
http://arxiv.org/abs/2310.07840
Autor:
Le, Viet-Anh, Tadiparthi, Vaishnav, Chalaki, Behdad, Mahjoub, Hossein Nourkhiz, D'sa, Jovin, Moradi-Pari, Ehsan, Malikopoulos, Andreas A.
In this paper, we develop a control framework for the coordination of multiple robots as they navigate through crowded environments. Our framework comprises of a local model predictive control (MPC) for each robot and a social long short-term memory
Externí odkaz:
http://arxiv.org/abs/2310.06964
Autor:
Le, Viet-Anh, Chalaki, Behdad, Tadiparthi, Vaishnav, Mahjoub, Hossein Nourkhiz, D'sa, Jovin, Moradi-Pari, Ehsan
Crowd navigation has received increasing attention from researchers over the last few decades, resulting in the emergence of numerous approaches aimed at addressing this problem to date. Our proposed approach couples agent motion prediction and plann
Externí odkaz:
http://arxiv.org/abs/2309.16838
Autor:
Holley, Dustin, D'sa, Jovin, Mahjoub, Hossein Nourkhiz, Ali, Gibran, Chalaki, Behdad, Moradi-Pari, Ehsan
This paper discusses the limitations of existing microscopic traffic models in accounting for the potential impacts of on-ramp vehicles on the car-following behavior of main-lane vehicles on highways. We first surveyed U.S. on-ramps to choose a repre
Externí odkaz:
http://arxiv.org/abs/2305.12014
Autor:
Chalaki, Behdad, Tadiparthi, Vaishnav, Mahjoub, Hossein Nourkhiz, D'sa, Jovin, Moradi-Pari, Ehsan, Armijos, Andres S. Chavez, Li, Anni, Cassandras, Christos G.
Publikováno v:
IEEE Control Systems Letters, vol. 7, pp. 1766-1771, 2023
A lane-change maneuver on a congested highway could be severely disruptive or even infeasible without the cooperation of neighboring cars. However, cooperation with other vehicles does not guarantee that the performed maneuver will not have a negativ
Externí odkaz:
http://arxiv.org/abs/2303.05991
Autor:
Armijos, Andres S. Chavez, Li, Anni, Cassandras, Christos G., Al-Nadawi, Yasir K., Araki, Hidekazu, Chalaki, Behdad, Moradi-Pari, Ehsan, Mahjoub, Hossein Nourkhiz, Tadiparthi, Vaishnav
We derive optimal control policies for a Connected Automated Vehicle (CAV) and cooperating neighboring CAVs to carry out a lane change maneuver consisting of a longitudinal phase where the CAV properly positions itself relative to the cooperating nei
Externí odkaz:
http://arxiv.org/abs/2211.08636
Publikováno v:
IEEE Conference on Decision and Control, (2022), 2264-2269
In this paper, we extend a framework that we developed earlier for coordination of connected and automated vehicles (CAVs) at a signal-free intersection by integrating a safety layer using control barrier functions. First, in our motion planning modu
Externí odkaz:
http://arxiv.org/abs/2203.16418