Essays about: "Speltestning"
Found 5 essays containing the word Speltestning.
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1. Playstyle Generation with Multimodal Generative Adversarial Imitation Learning : Style-reward from Human Demonstration for Playtesting Agents
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Playtesting plays a crucial role in video game production. The presence of gameplay issues and faulty design choices can be of great detriment to the overall player experience. READ MORE
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2. Improve game performance tracking tools : Heatmap as a tool
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Software testing is a crucial development technique to capture defects and slow code. When testing 3D graphics, it is hard to create automatic tests that detect errors or slow performance. Finding performance issues in game maps is a complex task that requires much manual work. READ MORE
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3. Automatic game-testing with personality : Multi-task reinforcement learning for automatic game-testing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work presents a scalable solution to automate game-testing. Traditionally, game-testing has been performed by either human players or scripted Artificial Intelligence (AI) agents. While the first produces the most reliable results, the process of organizing testing sessions is time consuming. READ MORE
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4. Scaling Reinforcement Learning Solutions For Game Playtesting
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Games are commonly used as playground for AI research, specifically in the field of Reinforcement Learning (RL). RL has shown promising results in developing intelligent agents to play a multitude of games. Previous work have explored how RL agents can be used in the process of playtesting in game development. READ MORE
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5. Using Player Modeling to Improve Automatic Playtesting
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis we present two approaches to improve automatic playtesting using player modeling. By modeling various cohorts of players we are able to train Convolutional Neural Network based agents that simulate human gameplay using different strategies directly learnt from real player data. READ MORE