Linus Gisslén

According to our database, Linus Gisslén authored at least 19 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2023

Improving Generalization in Game Agents with Data Augmentation in Imitation Learning.

Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Linus Gisslén

CoRR, 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

Generating Personas for Games with Multimodal Adversarial Imitation Learning.

William Ahlberg, Alessandro Sestini, Konrad Tollmar, 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

Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning.

Matilda Tamm, Olivia Shamon, Hector Anadon Leon, Konrad Tollmar, Linus Gisslén

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 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

Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games.

Carlos García Ling, Konrad Tollmar, Linus Gisslén

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 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

2017

Evaluating deep reinforcement learning for computer generated forces in ground combat simulation.

Babak Toghiani-Rizi, Farzad Kamrani, Linus J. Luotsinen, Linus Gisslén

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

A Quantitative Approach to Risk and Cost Assessment in Supply Chain Management.

Linus Gisslén, Andreas Horndahl

Proceedings of the 2016 European Intelligence and Security Informatics Conference, 2016

2015

Dynamic and Context Aware Reporting of Observations from the Field for Situation Assessment in Crisis Situation: An Integrated System for Information-Gathering and Sense-Making.

Andreas Horndahl, Linus Gisslén

Proceedings of the Information Systems for Crisis Response and Management in Mediterranean Countries, 2015

A Semantic Approach to Information Management and Decision Support: An Application to Humanitarian Demining Operations.

Linus Gisslén, Anders Törne

Proceedings of the 2015 European Intelligence and Security Informatics Conference, 2015

2012

Modular Value Iteration through Regional Decomposition.

Linus Gisslén, Mark B. Ring, Matthew D. Luciw, Jürgen Schmidhuber

Proceedings of the Artificial General Intelligence - 5th International Conference, 2012

2011

Sequential Constant Size Compressors for Reinforcement Learning.

Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011