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2020 – today
- 2023
[j1]Vilde B. Gjærum, Inga Strümke, Jakob Løver, Timothy Miller, Anastasios M. Lekkas:
Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. Neurocomputing 515: 133-144 (2023)- 2022
- [i3]Vilde B. Gjærum, Inga Strümke, Ole Andreas Alsos, Anastasios M. Lekkas:
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization. CoRR abs/2203.00368 (2022) - [i2]Vilde B. Gjærum, Ella-Lovise H. Rørvik, Anastasios M. Lekkas:
Approximating a deep reinforcement learning docking agent using linear model trees. CoRR abs/2203.00369 (2022) - [i1]Vilde B. Gjærum, Inga Strümke, Anastasios M. Lekkas, Tim Miller:
Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs. CoRR abs/2212.04212 (2022) - 2021
- [c3]Vilde B. Gjærum
, Ella-Lovise H. Rørvik, Anastasios M. Lekkas:
Approximating a deep reinforcement learning docking agent using linear model trees. ECC 2021: 1465-1471 - [c2]Anne Håkansson, Aya Saad, Akhil Anand, Vilde B. Gjærum, Haakon Robinson, Katrine Seel:
Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. KES 2021: 3966-3978 - [c1]Akhil Anand, Katrine Seel, Vilde B. Gjærum, Anne Håkansson, Haakon Robinson, Aya Saad:
Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. KES 2021: 3987-3997
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