Approximating a deep reinforcement learning docking agent using linear model trees. - Vilde B. Gjærum; Ella-Lovise H. Rørvik; Anastasios M. Lekkas (ECC, 2021)

Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. - Akhil Anand; Katrine Seel; Vilde B. Gjærum; Anne Håkansson; Haakon Robinson; Aya Saad (KES, 2021)

Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. - Anne Håkansson; Aya Saad; Akhil Anand; Vilde B. Gjærum; Haakon Robinson; Katrine Seel (KES, 2021)

Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization. - Vilde B. Gjærum; Inga Strümke; Ole Andreas Alsos; Anastasios M. Lekkas (CoRR, 2022)

Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs. - Vilde B. Gjærum; Inga Strümke; Anastasios M. Lekkas; Tim Miller 001 (CoRR, 2022)

Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. - Vilde B. Gjærum; Inga Strümke; Jakob Løver; Timothy Miller 001; Anastasios M. Lekkas (Neurocomputing, 2023)