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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)- [c7]Joakim Bergdahl, Alessandro Sestini, Linus Gisslén:
Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. CoG 2024: 1-8 - [i9]Joakim Bergdahl, Alessandro Sestini, Linus Gisslén:
Reinforcement Learning for High-Level Strategic Control in Tower Defense Games. CoRR abs/2406.07980 (2024) - [i8]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
- [c6]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 - [c5]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 - [i7]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) - 2022
- [i6]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) - [i5]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) - 2021
- [c4]Linus Gisslén, Andy Eakins, Camilo Gordillo, Joakim Bergdahl, Konrad Tollmar:
Adversarial Reinforcement Learning for Procedural Content Generation. CoG 2021: 1-8 - [c3]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
- [c2]Joakim Bergdahl, Camilo Gordillo, Konrad Tollmar, Linus Gisslén:
Augmenting Automated Game Testing with Deep Reinforcement Learning. CoG 2020: 600-603
2010 – 2019
- 2018
- [c1]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)
Coauthor Index
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