Joakim Bergdahl

According to our database, Joakim Bergdahl authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories.

Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov

IEEE Trans. Games, March, 2024

Improving Conditional Level Generation using Automated Validation in Match-3 Games.

Monica Villanueva Aylagas, Joakim Bergdahl, Jonas Gillberg, Alessandro Sestini, Theodor Tolstoy, Linus Gisslén

CoRR, 2024

Reinforcement Learning for High-Level Strategic Control in Tower Defense Games.

Joakim Bergdahl, Alessandro Sestini, Linus Gisslén

Proceedings of the IEEE Conference on Games, 2024

2023

Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning.

Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén

Proceedings of the IEEE Conference on Games, 2023

Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games.

Jonas Gillberg, Joakim Bergdahl, Alessandro Sestini, Andrew Eakins, Linus Gisslén

Proceedings of the IEEE Conference on Games, 2023

2022

CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories.

Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov

CoRR, 2022

2021

Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents.

Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Adversarial Reinforcement Learning for Procedural Content Generation.

Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Augmenting Automated Game Testing with Deep Reinforcement Learning.

Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén

Proceedings of the IEEE Conference on Games, 2020

2018

Imitation Learning with Concurrent Actions in 3D Games.

Jack Harmer, Linus Gisslén, Henrik Holst, Joakim Bergdahl, Tom Olsson, Kristoffer Sjöö, Magnus Nordin

CoRR, 2018

Imitation Learning with Concurrent Actions in 3D Games.

Jack Harmer, Linus Gisslén, Jorge del Val, Henrik Holst, Joakim Bergdahl, Tom Olsson, Kristoffer Sjöö, Magnus Nordin

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018