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Joakim Bergdahl
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Year
Augmenting automated game testing with deep reinforcement learning
J Bergdahl, C Gordillo, K Tollmar, L Gisslén
2020 IEEE Conference on Games (CoG), 600-603, 2020
752020
Imitation learning with concurrent actions in 3d games
J Harmer, L Gisslén, J del Val, H Holst, J Bergdahl, T Olsson, K Sjöö, ...
2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018
522018
Adversarial reinforcement learning for procedural content generation
L Gisslén, A Eakins, C Gordillo, J Bergdahl, K Tollmar
2021 IEEE Conference on Games (CoG), 1-8, 2021
452021
Improving playtesting coverage via curiosity driven reinforcement learning agents
C Gordillo, J Bergdahl, K Tollmar, L Gisslén
2021 IEEE Conference on Games (CoG), 1-8, 2021
422021
Automated gameplay testing and validation with curiosity-conditioned proximal trajectories
A Sestini, L Gisslén, J Bergdahl, K Tollmar, AD Bagdanov
IEEE Transactions on Games 16 (1), 113-126, 2022
132022
Towards informed design and validation assistance in computer games using imitation learning
A Sestini, J Bergdahl, K Tollmar, AD Bagdanov, L Gisslén
2023 IEEE Conference on Games (CoG), 1-8, 2023
72023
Asynchronous advantage actor-critic with adam optimization and a layer normalized recurrent network
J Bergdahl
42017
Technical challenges of deploying reinforcement learning agents for game testing in aaa games
J Gillberg, J Bergdahl, A Sestini, A Eakins, L Gisslén
2023 IEEE Conference on Games (CoG), 1-8, 2023
12023
Quantitative Analysis of Physical and Statistical Properties of Flocks.
J Bergdahl, L Almgren
12014
Automated Validation of Video Game Environments
A Sestini, L Gisslén, J Bergdahl
US Patent App. 17/983,046, 2024
2024
Playtesting coverage with curiosity driven reinforcement learning agents
LM Gisslén, J Bergdahl, K Tollmar, CAG Chaves
US Patent 11,878,249, 2024
2024
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