| A practical guide to multi-objective reinforcement learning and planning CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ... Autonomous Agents and Multi-Agent Systems 36 (1), 26, 2022 | 303 | 2022 |
| Scalar reward is not enough: A response to silver, singh, precup and sutton (2021) P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ... Autonomous Agents and Multi-Agent Systems 36 (2), 41, 2022 | 75 | 2022 |
| Tunable dynamics in agent-based simulation using multi-objective reinforcement learning J Källström, F Heintz Adaptive and Learning Agents Workshop (ALA-19) at AAMAS, Montreal, Canada …, 2019 | 33 | 2019 |
| Agent coordination in air combat simulation using multi-agent deep reinforcement learning J Källström, F Heintz 2020 ieee international conference on systems, man, and cybernetics (smc …, 2020 | 17 | 2020 |
| Multi-agent multi-objective deep reinforcement learning for efficient and effective pilot training J Källström, F Heintz FT2019. Proceedings of the 10th Aerospace Technology Congress, October 8-9 …, 2019 | 14 | 2019 |
| Design of simulation-based pilot training systems using machine learning agents J Källström, R Granlund, F Heintz The Aeronautical Journal, 1-25, 2022 | 10 | 2022 |
| Reinforcement learning for computer generated forces using open-source software J Källström, F Heintz Interservice/Industry Training, Simulation, and Education Conference, 1-11, 2019 | 9 | 2019 |
| Embedded software for new engine controller J KÄLLSTRÖM Department of Electrical Engineering, Sweden, 2001 | 6 | 2001 |
| Improving Usability of Search and Rescue Decision Support Systems: WARA-PS Case Study V Domova, E Gärtner, F Präntare, M Pallin, J Källström, N Korzhitskii 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 4 | 2020 |
| Adaptive agent-based simulation for individualized training J Källström 19th International Conference on Autonomous Agents and Multiagent Systems …, 2020 | 3 | 2020 |
| A Brief Guide to Multi-Objective Reinforcement Learning and Planning CF Hayes, R Rădulescu, E Bargiacchi, J Kallstrom, M Macfarlane, ... Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 2 | 2023 |
| Learning agents for improved efficiency and effectiveness in simulation-based training J Källström, F Heintz 32nd annual workshop of the Swedish Artificial Intelligence Society (SAIS), 1-2, 2020 | 2 | 2020 |
| Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning P Vamplew, C Foale, CF Hayes, P Mannion, E Howley, R Dazeley, ... arXiv preprint arXiv:2402.02665, 2024 | | 2024 |
| Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions J Källström, F Heintz Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | | 2023 |
| Scalar Reward is Not Enough P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ... Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | | 2023 |
| Reinforcement Learning for Improved Utility of Simulation-Based Training J Källström Linköping University Electronic Press, 2023 | | 2023 |
| Model-Based Multi-Objective Reinforcement Learning with Dynamic Utility Functions J Källström, F Heintz Adaptive and Learning Agents Workshop (ALA) at AAMAS 2023, 1-9, 2023 | | 2023 |
