Linus Gisslén

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Topics

Reinforcement Learning

Convolutional Neural Networks

Technical Challenges

Top Venues

Publications

Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories. IEEE Trans. Games 16 (1) (2024)
Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Ayça Özçelikkale, Linus Gisslén
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CEC (2024)
Joakim Bergdahl, Alessandro Sestini, Linus Gisslén
Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. CoRR (2024)
Leonardo Marini, Linus Gisslén, Alessandro Sestini
Leveraging Large Language Models for Efficient Failure Analysis in Game Development. CoRR (2024)
Carlos García Ling, Konrad Tollmar, Linus Gisslén
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games. CoRR (2024)
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoG (2023)
Jonas Gillberg, Joakim Bergdahl, Alessandro Sestini, Andrew Eakins, Linus Gisslén
Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games. CoRR (2023)
William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
Generating Personas for Games with Multimodal Adversarial Imitation Learning. CoG (2023)
Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CoRR (2023)
William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
Generating Personas for Games with Multimodal Adversarial Imitation Learning. CoRR (2023)
Jonas Gillberg, Joakim Bergdahl, Alessandro Sestini, Andrew Eakins, Linus Gisslén
Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games. CoG (2023)
Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoRR (2022)
Matilda Tamm, Olivia Shamon, Hector Anadon Leon, Konrad Tollmar, Linus Gisslén
Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning. CoRR (2022)
Matilda Tamm, Olivia Shamon, Hector Anadon Leon, Konrad Tollmar, Linus Gisslén
Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning. CoG (2022)
Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. CoRR (2022)
Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar
Adversarial Reinforcement Learning for Procedural Content Generation. CoRR (2021)
Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar
Adversarial Reinforcement Learning for Procedural Content Generation. CoG (2021)
Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. CoRR (2021)
Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. CoG (2021)
Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén
Augmenting Automated Game Testing with Deep Reinforcement Learning. CoRR (2021)
Carlos García Ling, Konrad Tollmar, Linus Gisslén
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games. AIIDE (2020)
Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén
Augmenting Automated Game Testing with Deep Reinforcement Learning. CoG (2020)
Jack Harmer, Linus Gisslén, Henrik Holst, Joakim Bergdahl, Tom Olsson, Kristoffer Sjöö, Magnus Nordin
Imitation Learning with Concurrent Actions in 3D Games. CoRR (2018)
Jack Harmer, Linus Gisslén, Jorge del Val, Henrik Holst, Joakim Bergdahl, Tom Olsson, Kristoffer Sjöö, Magnus Nordin
Imitation Learning with Concurrent Actions in 3D Games. CIG (2018)
Babak Toghiani-Rizi, Farzad Kamrani, Linus J. Luotsinen, Linus Gisslén
Evaluating deep reinforcement learning for computer generated forces in ground combat simulation. SMC (2017)
Linus Gisslén, Andreas Horndahl
A Quantitative Approach to Risk and Cost Assessment in Supply Chain Management. EISIC (2016)
Linus Gisslén, Anders Törne
A Semantic Approach to Information Management and Decision Support: An Application to Humanitarian Demining Operations. EISIC (2015)
Andreas Horndahl, Linus Gisslén
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. ISCRAM-med (2015)
Linus Gisslén, Mark B. Ring, Matthew D. Luciw, Jürgen Schmidhuber
Modular Value Iteration through Regional Decomposition. AGI (2012)
Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber
Sequential Constant Size Compressors for Reinforcement Learning. AGI (2011)