Essays about: "‘playing the expert’"
Showing result 1 - 5 of 19 essays containing the words ‘playing the expert’.
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1. Quantification of hand jerk asymmetry for infants in hemiplegic cerebral palsy assessment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hemiplegic cerebral palsy (HCP) is the most common form of cerebral palsy (CP) and affects roughly 1 in 400 infants. Unable to properly use the arm and leg of one side of the body, the disorder can have major negative impacts on a person’s life. New and improved methods of treating HCP have emerged in recent decades. READ MORE
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2. 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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3. Playing with Public Space : Engaging Residents in a Playful Co-creation Process to Change their Neighbourhood
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : I would like to open this thesis by asking the reader to reflect on the following questions regarding the urban space they live in or transit through often: How are these spaces designed? Do residents or inhabitants influence the design of these spaces? In many cities around the world we are witnessing an increased interest from the top management in including inhabitants in their planning and design schemes, yet there seems to be a problem. The way to do this remains top-down in the great majority of cases, meaning that the role of the user of space is clearly differentiated from the expert (urban planner, designer, architect), who tends to consult residents rather than include them as equals in the processes of modifying space. READ MORE
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4. Playing the Game of Risk with an AlphaZero Agent
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis is done in collaboration with the Swedish Defense ResearchAgency and investigates the learning capabilities of zero learning algorithms from a war gaming perspective by applying them to the classic strategy board game Risk. Agents are designed using the Monte Carlo Tree Search algorithm for online decision making and is aided by a neural network that learns offline action policies and a state evaluation function. READ MORE
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5. Zero-Knowledge Agent Trained for the Game of Risk
University essay from Uppsala universitet/Signaler och systemAbstract : Recent developments in deep reinforcement learning applied to abstract strategy games such as Go, chess and Hex have sparked an interest within military planning. This Master thesis explores if it is possible to implement an algorithm similar to Expert Iteration and AlphaZero to wargames. READ MORE
