Imitation learning techniques aim to mimic human behavior in a given task. An agent (a
learning machine) is trained to perform a task from demonstrations by learning a mapping …

While driving a vehicle safely at its handling limit is essential in autonomous vehicles in
Level 5 autonomy, it is a very challenging task for current conventional methods. Therefore …

In modern racing games programming non-player characters with believable and
sophisticated behaviors is getting increasingly challenging. Recently, several works in the …

Deep learning techniques have shown success in learning from raw high-dimensional data
in various applications. While deep reinforcement learning is recently gaining popularity as …

In this paper, we overview the 2009 Simulated Car Racing Championship-an event
comprising three competitions held in association with the 2009 IEEE Congress on …

Finding the racing line to follow on the track is at the root of the development of any
controller in racing games. In commercial games this issue is usually addressed by using …

This paper presents a controller for the 2010 Simulated Car Racing Championship. The idea
is not to create the fastest controller but a human-like controller. In order to achieve this, first …

Artificial Intelligence (AI) is gradually receiving more attention as a fundamental feature to
increase the immersion in digital games. Among the several AI approaches, Player …

This study focuses on trajectory planning and motion control policies in autonomous racing,
which necessitates pushing the capacity boundaries of racing vehicles to achieve maximum …

We are increasingly seeing computer systems which are expected to function without
operator intervention. This is perhaps acceptable for running computer networks or traffic …