Linus Gisslén

41 papers B 2C 11Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	A Call for Deeper Collaboration Between Robotics and Game Development. CoG Iolanda Leite, William Ahlberg, André Pereira, Alessandro Sestini, Linus Gisslén, Konrad Tollmar
2025	J	`jnl`	Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach. CoRR Alessandro Sestini, Joakim Bergdahl, Jean-Philippe Barrette-LaPierre, Florian Fuchs, Brady Chen, Michael Jones, Linus Gisslén
2025	C	`conf`	Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles. CoG Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Per Mattsson, Linus Gisslén, Alessandro Sestini
2025	J	`jnl`	Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-Ensembles. CoRR Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Per Mattsson, Linus Gisslén, Alessandro Sestini
2025	J	`jnl`	Self-correcting Reward Shaping via Language Models for Reinforcement Learning Agents in Games. CoRR António Afonso, Iolanda Leite, Alessandro Sestini, Florian Fuchs, Konrad Tollmar, Linus Gisslén
2025	J	`jnl`	TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning. CoRR Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
2025	J	`jnl`	Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration. CoRR Amir Baghi, Jens Sjölund, Joakim Bergdahl, Linus Gisslén, Alessandro Sestini
2024	J	`jnl`	Automated Gameplay Testing and Validation With Curiosity-Conditioned Proximal Trajectories. IEEE Trans. Games Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
2024	J	`jnl`	Improving Conditional Level Generation Using Automated Validation in Match-3 Games. IEEE Trans. Games Monica Villanueva Aylagas, Joakim Bergdahl, Jonas Gillberg, Alessandro Sestini, Theodor Tolstoy, Linus Gisslén
2024	J	`jnl`	Improving Conditional Level Generation using Automated Validation in Match-3 Games. CoRR Monica Villanueva Aylagas, Joakim Bergdahl, Jonas Gillberg, Alessandro Sestini, Theodor Tolstoy, Linus Gisslén
2024	B	`conf`	Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CEC Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Ayça Özçelikkale, Linus Gisslén
2024	C	`conf`	Leveraging Large Language Models for Efficient Failure Analysis in Game Development. CoG Leonardo Marini, Linus Gisslén, Alessandro Sestini
2024	J	`jnl`	Leveraging Large Language Models for Efficient Failure Analysis in Game Development. CoRR Leonardo Marini, Linus Gisslén, Alessandro Sestini
2024	C	`conf`	Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. CoG Joakim Bergdahl, Alessandro Sestini, Linus Gisslén
2024	J	`jnl`	Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. CoRR Joakim Bergdahl, Alessandro Sestini, Linus Gisslén
2024	J	`jnl`	Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games. CoRR Carlos García Ling, Konrad Tollmar, Linus Gisslén
2023	C	`conf`	Generating Personas for Games with Multimodal Adversarial Imitation Learning. CoG William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
2023	J	`jnl`	Generating Personas for Games with Multimodal Adversarial Imitation Learning. CoRR William Ahlberg, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
2023	J	`jnl`	Improving Generalization in Game Agents with Data Augmentation in Imitation Learning. CoRR Derek Yadgaroff, Alessandro Sestini, Konrad Tollmar, Linus Gisslén
2023	C	`conf`	Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games. CoG Jonas Gillberg, Joakim Bergdahl, Alessandro Sestini, Andrew Eakins, Linus Gisslén
2023	J	`jnl`	Technical Challenges of Deploying Reinforcement Learning Agents for Game Testing in AAA Games. CoRR Jonas Gillberg, Joakim Bergdahl, Alessandro Sestini, Andrew Eakins, Linus Gisslén
2023	C	`conf`	Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoG Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
2022	C	`conf`	Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning. CoG Matilda Tamm, Olivia Shamon, Hector Anadon Leon, Konrad Tollmar, Linus Gisslén
2022	J	`jnl`	Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning. CoRR Matilda Tamm, Olivia Shamon, Hector Anadon Leon, Konrad Tollmar, Linus Gisslén
2022	J	`jnl`	CCPT: Automatic Gameplay Testing and Validation with Curiosity-Conditioned Proximal Trajectories. CoRR Alessandro Sestini, Linus Gisslén, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov
2022	J	`jnl`	Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. CoRR Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén
2021	C	`conf`	Adversarial Reinforcement Learning for Procedural Content Generation. CoG Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar
2021	J	`jnl`	Adversarial Reinforcement Learning for Procedural Content Generation. CoRR Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar
2021	J	`jnl`	Augmenting Automated Game Testing with Deep Reinforcement Learning. CoRR Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén
2021	C	`conf`	Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. CoG Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén
2021	J	`jnl`	Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents. CoRR Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar, Linus Gisslén
2020	C	`conf`	Augmenting Automated Game Testing with Deep Reinforcement Learning. CoG Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén
2020	—	`conf`	Using Deep Convolutional Neural Networks to Detect Rendered Glitches in Video Games. AIIDE Carlos García Ling, Konrad Tollmar, Linus Gisslén
2018	—	`conf`	Imitation Learning with Concurrent Actions in 3D Games. CIG Jack Harmer, Linus Gisslén, Jorge del Val, Henrik Holst, Joakim Bergdahl, Tom Olsson, Kristoffer Sjöö, Magnus Nordin
2018	J	`jnl`	Imitation Learning with Concurrent Actions in 3D Games. CoRR Jack Harmer, Linus Gisslén, Henrik Holst, Joakim Bergdahl, Tom Olsson, Kristoffer Sjöö, Magnus Nordin
2017	B	`conf`	Evaluating deep reinforcement learning for computer generated forces in ground combat simulation. SMC Babak Toghiani-Rizi, Farzad Kamrani, Linus J. Luotsinen, Linus Gisslén
2016	—	`conf`	A Quantitative Approach to Risk and Cost Assessment in Supply Chain Management. EISIC Linus Gisslén, Andreas Horndahl
2015	—	`conf`	A Semantic Approach to Information Management and Decision Support: An Application to Humanitarian Demining Operations. EISIC Linus Gisslén, Anders Törne
2015	—	`conf`	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 Andreas Horndahl, Linus Gisslén
2012	—	`conf`	Modular Value Iteration through Regional Decomposition. AGI Linus Gisslén, Mark B. Ring, Matthew D. Luciw, Jürgen Schmidhuber
2011	—	`conf`	Sequential Constant Size Compressors for Reinforcement Learning. AGI Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber