3 papers
cs.LG2026
FedLLM: A Privacy-Preserving Federated Large Language Model for Explainable Traffic Flow Prediction
Seerat Kaur, Sukhjit Singh Sehra, Dariush Ebrahimi
Traffic prediction plays a central role in intelligent transportation systems (ITS) by supporting real-time decision-making, congestion management, and long-term planning. However,…
cs.AI2025
A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
Majid Ghasemi, Amir Hossein Moosavi, Dariush Ebrahimi
Reinforcement Learning (RL) has emerged as a powerful paradigm in Artificial Intelligence (AI), enabling agents to learn optimal behaviors through interactions with their environme…
cs.AI2024
Introduction to Reinforcement Learning
Majid Ghasemi, Dariush Ebrahimi
Reinforcement Learning (RL), a subfield of Artificial Intelligence (AI), focuses on training agents to make decisions by interacting with their environment to maximize cumulative r…