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 (CIG, 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)

Augmenting Automated Game Testing with Deep Reinforcement Learning. - Joakim Bergdahl; Camilo Gordillo; Konrad Tollmar; Linus Gisslén (CoG, 2020)

Adversarial Reinforcement Learning for Procedural Content Generation. - Linus Gisslén; Andy Eakins; Camilo Gordillo; Joakim Bergdahl; Konrad Tollmar (CoG, 2021)

Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. - Camilo Gordillo; Joakim Bergdahl; Konrad Tollmar; Linus Gisslén (CoG, 2021)

CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. - Alessandro Sestini; Linus Gisslén; Joakim Bergdahl; Konrad Tollmar; Andrew D. Bagdanov (CoRR, 2022)

Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games. - Jonas Gillberg; Joakim Bergdahl; Alessandro Sestini; Andrew Eakins; Linus Gisslén (CoG, 2023)

Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. - Alessandro Sestini; Joakim Bergdahl; Konrad Tollmar; Andrew D. Bagdanov; Linus Gisslén (CoG, 2023)

Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. - Joakim Bergdahl; Alessandro Sestini; Linus Gisslén (CoG, 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, 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 (IEEE Trans. Games, 2024)

Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration. - Amir Baghi; Jens Sjölund; Joakim Bergdahl; Linus Gisslén; Alessandro Sestini (CoRR, 2025)

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning. - Alessandro Sestini; Joakim Bergdahl; Konrad Tollmar; Andrew D. Bagdanov; Linus Gisslén (CoRR, 2025)