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ORCIDLinus Gisslén
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2020 – today
- 2024
[j1]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): 113-126 (2024)- [c18]Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Ayça Özçelikkale, Linus Gisslén:
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CEC 2024: 1-8 - [c17]Joakim Bergdahl, Alessandro Sestini, Linus Gisslén:
Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. CoG 2024: 1-8 - [c16]Leonardo Marini, Linus Gisslén, Alessandro Sestini:
Leveraging Large Language Models for Efficient Failure Analysis in Game Development. CoG 2024: 1-8 - [i14]Leonardo Marini, Linus Gisslén, Alessandro Sestini:
Leveraging Large Language Models for Efficient Failure Analysis in Game Development. CoRR abs/2406.07084 (2024) - [i13]Joakim Bergdahl, Alessandro Sestini, Linus Gisslén:
Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. CoRR abs/2406.07980 (2024) - [i12]Carlos García Ling, Konrad Tollmar, Linus Gisslén:
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games. CoRR abs/2406.08231 (2024) - [i11]Monica Villanueva Aylagas, Joakim Bergdahl, Jonas Gillberg, Alessandro Sestini, Theodor Tolstoy, Linus Gisslén:
Improving Conditional Level Generation using Automated Validation in Match-3 Games. CoRR abs/2409.06349 (2024) - 2023
- [c15]William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén:
Generating Personas for Games with Multimodal Adversarial Imitation Learning. CoG 2023: 1-8 - [c14]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: 1-8 - [c13]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: 1-8 - [i10]Jonas Gillberg, Joakim Bergdahl, Alessandro Sestini, Andrew Eakins, Linus Gisslén:
Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games. CoRR abs/2307.11105 (2023) - [i9]William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén:
Generating Personas for Games with Multimodal Adversarial Imitation Learning. CoRR abs/2308.07598 (2023) - [i8]Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Linus Gisslén:
Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CoRR abs/2309.12815 (2023) - 2022
- [c12]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: 191-198 - [i7]Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov:
CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. CoRR abs/2202.10057 (2022) - [i6]Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén:
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoRR abs/2208.07811 (2022) - [i5]Matilda Tamm, Olivia Shamon, Hector Anadon Leon, Konrad Tollmar, Linus Gisslén:
Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning. CoRR abs/2208.12674 (2022) - 2021
- [c11]Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar:
Adversarial Reinforcement Learning for Procedural Content Generation. CoG 2021: 1-8 - [c10]Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén:
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. CoG 2021: 1-8 - [i4]Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar:
Adversarial Reinforcement Learning for Procedural Content Generation. CoRR abs/2103.04847 (2021) - [i3]Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén:
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. CoRR abs/2103.13798 (2021) - [i2]Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén:
Augmenting Automated Game Testing with Deep Reinforcement Learning. CoRR abs/2103.15819 (2021) - 2020
- [c9]Carlos García Ling, Konrad Tollmar, Linus Gisslén:
Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games. AIIDE 2020: 66-73 - [c8]Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén:
Augmenting Automated Game Testing with Deep Reinforcement Learning. CoG 2020: 600-603
2010 – 2019
- 2018
- [c7]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: 1-8 - [i1]Jack Harmer, Linus Gisslén, Henrik Holst, Joakim Bergdahl, Tom Olsson, Kristoffer Sjöö, Magnus Nordin:
Imitation Learning with Concurrent Actions in 3D Games. CoRR abs/1803.05402 (2018) - 2017
- [c6]Babak Toghiani-Rizi, Farzad Kamrani, Linus J. Luotsinen, Linus Gisslén:
Evaluating deep reinforcement learning for computer generated forces in ground combat simulation. SMC 2017: 3433-3438 - 2016
- [c5]Linus Gisslén, Andreas Horndahl:
A Quantitative Approach to Risk and Cost Assessment in Supply Chain Management. EISIC 2016: 180-183 - 2015
- [c4]Linus Gisslén, Anders Törne:
A Semantic Approach to Information Management and Decision Support: An Application to Humanitarian Demining Operations. EISIC 2015: 75-82 - [c3]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: 132-139 - 2012
- [c2]Linus Gisslén, Mark B. Ring, Matthew D. Luciw, Jürgen Schmidhuber:
Modular Value Iteration through Regional Decomposition. AGI 2012: 69-78 - 2011
- [c1]Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber:
Sequential Constant Size Compressors for Reinforcement Learning. AGI 2011: 31-40
Coauthor Index
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