Essays about: "Multi-agent Player"
Showing result 1 - 5 of 14 essays containing the words Multi-agent Player.
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1. Enhancing video game experience with playtime training and tailoring of virtual opponents : Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment
University essay fromAbstract : When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways. The vast majority of AIs for such fictional characters, that control their actions, are statically scripted, and expert players can learn strategies that take advantage of this to easily win challenges that were intended to be hard. READ MORE
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2. Multi-Agent Information Gathering Using Stackelberg Games
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multi-agent information gathering (MA-IG) enables autonomous robots to cooperatively collect information in an unfamiliar area. In some scenarios, the focus is on gathering the true mapping of a physical quantity such as temperature or magnetic field. READ MORE
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3. Learning Multi-Agent Combat Scenarios in StarCraft II with League Training : an exploration of advanced learning techniques on a smaller scale
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : Google DeepMind trained their state-of-the-art StarCraft II agent AlphaStar using leaguetraining with massive computational power. In this thesis we explore league training onsmall-scale combat scenarios in StarCraft II, using limited computational resources, to an-swer whether this approach is suitable for smaller problems. READ MORE
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4. Investigating the impact of agent observations on stabilization of the iterated Multiplayer Knowledge Based Subset Construction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multi-agent games and strategy synthesis within them is of great interest to several applications, for example robotics and manufacturing. The Multiplayer Knowledge Based Subset Construction (MKBSC) could be a useful tool for such strategy synthesis. READ MORE
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5. Stabilization in hierarchical multiagentgames against nature
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Game theory is a way of modeling interactions between intelligent agents, for example, robots working on an assembly line where they need to take input from their environment to know how to act. When discussing these types of games, an important aspect is that of knowledge. READ MORE
