1 citations · 1 across the 3 of their papers we have counts for
4 papers
Beyond Static Datasets: Robust Offline Policy Optimization via Vetted Synthetic Transitions
Pedram Agand, Mo Chen
Offline Reinforcement Learning (ORL) holds immense promise for safety-critical domains like industrial robotics, where real-time environmental interaction is often prohibitive. A p…
Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract)
Yimeng Fan, Pedram Agand, Mo Chen +3
The maritime industry's continuous commitment to sustainability has led to a dedicated exploration of methods to reduce vessel fuel consumption. This paper undertakes this challeng…
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning
Pedram Agand, Mohammad Mahdavian, Manolis Savva +1
In end-to-end autonomous driving, the utilization of existing sensor fusion techniques and navigational control methods for imitation learning proves inadequate in challenging situ…
Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions
Pedram Agand, Alexey Iskrov, Mo Chen
Nowadays, transportation networks face the challenge of sub-optimal control policies that can have adverse effects on human health, the environment, and contribute to traffic conge…