Konstantinos Koufos — accepted AI-conference papers

2024

SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies

Amir Samadi, Konstantinos Koufos, Kurt Debattista, Mehrdad Dianati

RA-L 2024

While Deep Reinforcement Learning (DRL) has emerged as a promising solution for intricate control tasks, the lack of explainability of the learned policies impedes its uptake in safety-critical applications, such as automated driving systems (ADS). Counterfactual (CF) explanations have recently gain

Cited by 10 Source ↗code ↗Scholar ↗

2023

Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks

Sajjad Mozaffari, MReza Alipour Sormoli, Konstantinos Koufos, Mehrdad Dianati

RA-L 2023

Predicting the behaviour (i.e., manoeuvre/trajectory) of other road users, including vehicles, is critical for the safe and efficient operation of autonomous vehicles (AVs), a.k.a., automated driving systems (ADSs). Due to the uncertain future behaviour of vehicles, multiple future behaviour modes a

Cited by 43 Source ↗code ↗Scholar ↗