| Learning of Parameters in Behavior Trees for Movement Skills M Mayr, K Chatzilygeroudis, F Ahmad, L Nardi, V Krueger arXiv preprint arXiv:2109.13050, 2021 | 15 | 2021 |
| Skill-based multi-objective reinforcement learning of industrial robot tasks with planning and knowledge integration M Mayr, F Ahmad, K Chatzilygeroudis, L Nardi, V Krueger 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1995 …, 2022 | 14 | 2022 |
| Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks M Mayr, F Ahmad, K Chatzilygeroudis, L Nardi, V Krueger arXiv preprint arXiv:2212.03570, 2022 | 6 | 2022 |
| Generalizing Behavior Trees and Motion-Generator (BTMG) Policy Representation for Robotic Tasks Over Scenario Parameters F Ahmad, M Mayr, EA Topp, J Malec, V Krueger 2022 IJCAI Planning and Reinforcement Learning Workshop, 2022 | 6 | 2022 |
| Learning to Adapt the Parameters of Behavior Trees and Motion Generators to Task Variations F Ahmad, M Mayr, V Krueger arXiv preprint arXiv:2303.08209, 2023 | 2 | 2023 |
| A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach F Ahmad, E Erdem, V Patoglu arXiv preprint arXiv:1903.00745, 2019 | 1 | 2019 |
| A hybrid planning approach to robot construction problems F Ahmad | 1 | 2019 |
| Hybrid Planning for Challenging Construction Problems: An Answer Set Programming Approach F Ahmad, V Patoglu, E Erdem Artificial Intelligence, 103902, 2023 | | 2023 |
| How to Set Up & Learn New Robot Tasks with Explainable Behaviors? M Mayr, F Ahmad, K Chatzilygeroudis, L Nardi, V Krueger European Robotics Forum, 2022 | | 2022 |
| Revisiting robot construction problems as benchmarks for task and motion planning F Ahmad, E Erdem, V Patoğlu RSS, 2018 | | 2018 |
