Essays about: "imitation game"
Showing result 1 - 5 of 12 essays containing the words imitation game.
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1. CLONING IN THE VIDEO GAME INDUSTRY : A literature review
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Video game cloning is controversial within the industry, both because copyright laws do not protect game mechanics, and because people’s judgements about game cloning are unclear. Therefore, this study aims to examine the current literature related to game cloning and summarise the impact of cloning on the game industry, as well as the challenges faced by developers. READ MORE
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2. 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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3. Fine-tuning Bot Play Styles From Demonstration
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In recent years, Reinforcement Learning (RL) has successfully been used to train agents for games. Nonetheless, in the game industry there is still a necessity for bots not only to succeed in the environments but also to act human-like while playing the game. READ MORE
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4. Training an Adversarial Non-Player Character with an AI Demonstrator : Applying Unity ML-Agents
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Game developers are continuously searching for new ways of populating their vast game worlds with competent and engaging Non-Player Characters (NPCs), and researchers believe Deep Reinforcement Learning (DRL) might be the solution for emergent behavior. READ MORE
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5. Improving robustness of beyond visual range strategies with adapted training distributions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : A key obstacle for training an autonomous agent in real air-to-air combat is the lack of available training data, which makes it difficult to apply supervised learning techniques. Self-play is a method that can be used where an agent trains against itself or against versions of itself without imitation data or human instruction. READ MORE