Paper-Conference

Selecting optimal solvers for complex AI tasks grows increasingly difficult as algorithmic options expand. We address this challenge …

Markov Decision Processes (MDPs) are often used in Artificial Intelligence to solve probabilistic sequential decision-making problems. …

The Cooperative Electric Vehicles Planning Problem (CEVPP) has recently been proposed as a multi-agent variant of the Electric Vehicle …

This paper introduces the Cooperative Electric Vehicles Planning Problem (CEVPP), which consists in finding a path for each vehicle of …

Automated planning research often focuses on developing new algorithms to improve the computational performance of planners, but …

Research in automated planning typically focuses on the development of new or improved algorithms. Yet, an equally important but often …

Markov Decision Processes (MDPs) are useful to solve real-world probabilistic planning problems. However, finding an optimal solution …

Over the past few years, several studies have considered the problem of Electric Vehicle Path Planning with intermediate recharge …

This paper introduces a new algorithm for solving the discrete grid-based coverage path-planning (CPP) problem. This problem consists …

This paper presents a novel approach for trip reconstruction and transport mode detection. While traditional methods use a fixed GPS …