Essays about: "multi-agent player"
Showing result 6 - 10 of 14 essays containing the words multi-agent player.
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6. Investigating Strategic Hierarchical Information
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multi-agent strategic planning is a field that seeks to model groups of agents who must cooperate to fulfil some goal. It is closely connected to the field of game theory, as games are used to model the interactions between players. READ MORE
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7. Estimation of player trajectories from context in football games using autoencoders
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : ChyronHego tracks a large number of football games. Occasionally there are errors in the tracked positions of the ball or the players. READ MORE
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8. Investigating the Epistemic Unfolding of Multi-Player Games of Imperfect Information
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Solving multi-agent planning problems entails finding strategies that ensure that the agents achieve their cooperative objective. In practice, since the agents do not necessarily have perfect knowledge, these planning problems may involve imperfect information. READ MORE
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9. Strategy Synthesis for Multi-Agent Systems with Imperfect Information and Imperfect Recall
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report aims to study and compare currently available tools for uniform strategy synthesis in multi-player versus environment games of imperfect information and imperfect recall. These games are represented as a graph of game states, and goal sequences of states are typically represented using temporal logic formulae. READ MORE
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10. Training Multi-Agent Collaboration using Deep Reinforcement Learning in Game Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Reinforcement Learning (DRL) is a new research area, which integrates deep neural networks into reinforcement learning algorithms. It is revolutionizing the field of AI with high performance in the traditional challenges, such as natural language processing, computer vision etc. READ MORE
