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Johan Källström
Johan Källström
Technical Fellow Simulation-Based Training, Saab Aeronautics
Verifierad e-postadress på saabgroup.com
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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
1982022
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
522022
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
262019
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
122019
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
112020
Reinforcement learning for computer generated forces using open-source software
J Källström, F Heintz
Interservice/Industry Training, Simulation, and Education Conference, 1-11, 2019
82019
Embedded software for new engine controller
J KÄLLSTRÖM
Department of Electrical Engineering, Sweden, 2001
62001
Design of simulation-based pilot training systems using machine learning agents
J Källström, R Granlund, F Heintz
The Aeronautical Journal, 1-25, 2022
52022
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
32020
Adaptive agent-based simulation for individualized training
J Källström
19th International Conference on Autonomous Agents and Multiagent Systems …, 2020
22020
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
12023
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
12020
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
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Artiklar 1–17