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Linus Gisslén

Augmenting Automated Game Testing with Deep Reinforcement Learning
2020 · Joakim Bergdahl, Camilo Gordillo, et al. · IEEE Conference on Games (CoG) · 103
Adversarial Reinforcement Learning for Procedural Content Generation
2021 · Linus Gisslen, Andy Eakins, et al. · IEEE Conference on Games (CoG) · 64
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Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents
2021 · Camilo Gordillo, Joakim Bergdahl, et al. · IEEE Conference on Games (CoG) · 64
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Imitation Learning with Concurrent Actions in 3D Games
2018 · Jack Harmer, Linus Gisslen, et al. · IEEE Conference on Computational Intelligence and Games (CIG) · 48
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Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories
2022 · Alessandro Sestini, Linus Gisslén, et al. · IEEE Transactions on Games · 38
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Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games
2023 · Jonas Gillberg, Joakim Bergdahl, et al. · IEEE Conference on Games (CoG) · 22
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Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games
2020 · Carlos Ling, Konrad Tollmar, et al. · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · 17
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Sequential Constant Size Compressors for Reinforcement Learning
2011 · Linus Gisslén, Matt Luciw, et al. · Lecture notes in computer science · 17
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning
2023 · Alessandro Sestini, Joakim Bergdahl, et al. · IEEE Conference on Games (CoG) · 16
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Evaluating deep reinforcement learning for computer generated forces in ground combat simulation
2017 · Babak Toghiani-Rizi, Farzad Kamrani, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 16
Augmenting Automated Game Testing with Deep Reinforcement Learning
2021 · Bergdahl, Joakim, Gordillo, Camilo, et al. · arXiv (Cornell University) · 10
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Generating Personas for Games with Multimodal Adversarial Imitation Learning
2023 · William Ahlberg, Alessandro Sestini, et al. · IEEE Conference on Games (CoG) · 8
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Improving Generalization in Game Agents with Data Augmentation in Imitation Learning
2024 · Derek Yadgaroff, Alessandro Sestini, et al. · IEEE Congress on Evolutionary Computation (CEC) · 5
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A Semantic Approach to Information Management and Decision Support: An Application to Humanitarian Demining Operations
2015 · Linus Gisslen, Anders Torne · European Intelligence and Security Informatics Conference · 5
Improving Conditional Level Generation Using Automated Validation in Match-3 Games
2024 · Monica Villanueva Aylagas, Joakim Bergdahl, et al. · IEEE Transactions on Games · 4
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Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles
2025 · Ruoqi Zhang, Ziwei Luo, et al. · IEEE Conference on Games (CoG) · 3
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Self-correcting Reward Shaping via Language Models for Reinforcement Learning Agents in Games
2025 · Afonso, António, Leite, Iolanda, et al. · arXiv (Cornell University) · 3
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Reinforcement Learning for High-Level Strategic Control in Tower Defense Games
2024 · Joakim Bergdahl, Alessandro Sestini, et al. · IEEE Conference on Games (CoG) · 3
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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
2015 · Andreas Horndahl, Linus Gisslén · Lecture notes in business information processing · 3
Leveraging Large Language Models for Efficient Failure Analysis in Game Development
2024 · Leonardo Marini, Linus Gisslén, et al. · IEEE Conference on Games (CoG) · 2
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Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning
2022 · Matilda Tamm, Olivia Shamon, et al. · IEEE Conference on Games (CoG) · 1
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Improving Sample Efficiency in Multi-Agent Reinforcement Learning for Simulated Football Games via Exploration
2026 · Amir Baghi, Jens Sjölund, et al. · International Conference on the Foundations of Digital Games (FDG)
Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26
2026 · Fuchs, Florian, Gosselin-Grant, Jessy, et al. · arXiv (Cornell University)
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Augmenting Game AI with Deep Reinforcement Learning
2026 · Sestini, Alessandro, Bergdahl, Joakim, et al. · arXiv (Cornell University)
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Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution
2026 · Hösch, Jannik, Sestini, Alessandro, et al. · arXiv (Cornell University)
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Works count: 29
Citation count: 454
H-index: 10
I10-index: 11
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