169 citations · 209 across the 5 of their papers we have counts for
5 papers
Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks
Ruohao Guo, Afshin Oroojlooy, Roshan Sridhar +3
Despite recent rapid progress in AI safety, current large language models remain vulnerable to adversarial attacks in multi-turn interaction settings, where attackers strategically…
Machine Learning to Generate Adjustable Dose Distributions in Head-and-Neck Cancer Radiation Therapy
Davood Hajinezhad, Afshin Oroojlooy, Mohammadreza Nazari +5
In this work, we propose a Machine Learning model that generates an adjustable 3D dose distribution for external beam radiation therapy for head-and-neck cancer treatments. In cont…
Towards optimized actions in critical situations of soccer games with deep reinforcement learning
Pegah Rahimian, Afshin Oroojlooy, Laszlo Toka
Soccer is a sparse rewarding game: any smart or careless action in critical situations can change the result of the match. Therefore players, coaches, and scouts are all curious ab…
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy, Mohammadreza Nazari, Davood Hajinezhad +1
We propose AttendLight, an end-to-end Reinforcement Learning (RL) algorithm for the problem of traffic signal control. Previous approaches for this problem have the shortcoming tha…
Reinforcement Learning for Solving the Vehicle Routing Problem
Mohammadreza Nazari, Afshin Oroojlooy, Lawrence V. Snyder +1
We present an end-to-end framework for solving the Vehicle Routing Problem (VRP) using reinforcement learning. In this approach, we train a single model that finds near-optimal sol…