Lars Johan Källström

PhD student

PhD Defence

Public defence of doctoral thesis in Computer Science: Johan Källström

Johan Källström at the Department of Computer and Information Science (IDA), defends his thesis entitled "Reinforcement Learning for Improved Utility of Simulation-Based Training". Main supervisor: Fredrik Heintz, professor, IDA . Opponent: Julian Togelius, Professor, Tandon School of Engineering, New York University, USA. Chair of the event: Arne Jönsson, Professor, IDA. The event is public and held in English.

Start	08 December 2023, 1.15 pm
End	08 December 2023, 4.15 pm
Location	Ada Lovelace, Building B, Entrance 27, Campus Valla
Contacts	Anne Moe +4613281460

Johan Källström (2023)

Reinforcement Learning for Improved Utility of Simulation-Based Training

Publications

2023

Johan Källström (2023) Reinforcement Learning for Improved Utility of Simulation-Based Training

Johan Källström, Fredrik Heintz (2023) Model-Based Multi-Objective Reinforcement Learning with Dynamic Utility Functions Proceedings of the Adaptive and Learning Agents Workshop (ALA) at AAMAS 2023, p. 1-9

Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel Ramos, Roxana Rădulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J.K. Libin, Richard Dazeley, Cameron Foale (2023) Scalar Reward is Not Enough Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), p. 839-841

Johan Källström, Fredrik Heintz (2023) Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), p. 2818-2820

Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers (2023) A Brief Guide to Multi-Objective Reinforcement Learning and Planning Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), p. 1988-1990

About the division

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Artificial Intelligence and Integrated Computer Systems (AIICS)

The AIICS division is part of the Department of Computer and Information Science. The main focus of interest for the division is research and teaching in artificial intelligence, its theoretical foundations and its applications.

Colleagues at AIICS

Lars Johan Källström

PhD Defence

Public defence of doctoral thesis in Computer Science: Johan Källström

Publications

2023

About the division

Artificial Intelligence and Integrated Computer Systems (AIICS)

Colleagues at AIICS

About the department

Department of Computer and Information Science (IDA)

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