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Synopsis
A Real-time Strategy (RTS) game is an adversarial game where the participants position and maneuver units and structures under their control to secure areas of the map and/or win by destroying their opponents’ units and structures. It is possible to train new units and build new structures during the course of a game with limited amount of resources present in the setting. As opposed to comparable turn-based adversarial games such as chess and go, opponents do not wait for each others’ moves so the game progresses naturally with units interacting each other in real time. As a result of the real-time nature of the game, the complexity of the game dramatically increases. In recent years, there has been an increasing interest in RTS games in the artificial intelligence community, especially from the perspective of reinforcement learning, to create an agent to play the RTS game, due to the problem’s large state-action space. Modeling and implementing an efficient learning agent that is able to cope with the large state space is a difficult task.
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A Heterogeneous Multi-Agent Intelligent Player
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LAP LAMBERT Academic Publishing Mrz 2019, 2019
ISBN 10: 3659938904
ISBN 13: 9783659938900
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A Real-time Strategy (RTS) game is an adversarial game where the participants position and maneuver units and structures under their control to secure areas of the map and/or win by destroying their opponents' units and structures. It is possible to train new units and build new structures during the course of a game with limited amount of resources present in the setting. As opposed to comparable turn-based adversarial games such as chess and go, opponents do not wait for each others' moves so the game progresses naturally with units interacting each other in real time. As a result of the real-time nature of the game, the complexity of the game dramatically increases. In recent years, there has been an increasing interest in RTS games in the artificial intelligence community, especially from the perspective of reinforcement learning, to create an agent to play the RTS game, due to the problem's large state-action space. Modeling and implementing an efficient learning agent that is able to cope with the large state space is a difficult task. 64 pp. Englisch. Seller Inventory # 9783659938900
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A Heterogeneous Multi-Agent Intelligent Player : For a Real-Time Strategy Game
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LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659938904
ISBN 13: 9783659938900
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A Real-time Strategy (RTS) game is an adversarial game where the participants position and maneuver units and structures under their control to secure areas of the map and/or win by destroying their opponents' units and structures. It is possible to train new units and build new structures during the course of a game with limited amount of resources present in the setting. As opposed to comparable turn-based adversarial games such as chess and go, opponents do not wait for each others' moves so the game progresses naturally with units interacting each other in real time. As a result of the real-time nature of the game, the complexity of the game dramatically increases. In recent years, there has been an increasing interest in RTS games in the artificial intelligence community, especially from the perspective of reinforcement learning, to create an agent to play the RTS game, due to the problem's large state-action space. Modeling and implementing an efficient learning agent that is able to cope with the large state space is a difficult task. Seller Inventory # 9783659938900
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A Heterogeneous Multi-Agent Intelligent Player
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ISBN 10: 3659938904
ISBN 13: 9783659938900
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kurt Mehmet CihanMehmet Cihan Kurt - Degree of Master of Science in Computer Engineering Programme, Istanbul.A Real-time Strategy (RTS) game is an adversarial game where the participants position and maneuver units and structures. Seller Inventory # 385771014
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A Heterogeneous Multi-Agent Intelligent Player: For a Real-Time Strategy Game
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ISBN 13: 9783659938900
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Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 64 pages. 8.66x5.91x0.28 inches. In Stock. Seller Inventory # 3659938904
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A Heterogeneous Multi-Agent Intelligent Player
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ISBN 10: 3659938904
ISBN 13: 9783659938900
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A Real-time Strategy (RTS) game is an adversarial game where the participants position and maneuver units and structures under their control to secure areas of the map and/or win by destroying their opponents' units and structures. It is possible to train new units and build new structures during the course of a game with limited amount of resources present in the setting. As opposed to comparable turn-based adversarial games such as chess and go, opponents do not wait for each others' moves so the game progresses naturally with units interacting each other in real time. As a result of the real-time nature of the game, the complexity of the game dramatically increases. In recent years, there has been an increasing interest in RTS games in the artificial intelligence community, especially from the perspective of reinforcement learning, to create an agent to play the RTS game, due to the problem's large state-action space. Modeling and implementing an efficient learning agent that is able to cope with the large state space is a difficult task.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Seller Inventory # 9783659938900
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A Heterogeneous Multi-Agent Intelligent Player | For a Real-Time Strategy Game
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ISBN 10: 3659938904
ISBN 13: 9783659938900
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Taschenbuch. Condition: Neu. A Heterogeneous Multi-Agent Intelligent Player | For a Real-Time Strategy Game | Mehmet Cihan Kurt | Taschenbuch | 64 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659938900 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 116119687
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A Heterogeneous Multi-Agent Intelligent Player : For a Real-Time Strategy Game
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659938904
ISBN 13: 9783659938900
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | A Real-time Strategy (RTS) game is an adversarial game where the participants position and maneuver units and structures under their control to secure areas of the map and/or win by destroying their opponents¿ units and structures. It is possible to train new units and build new structures during the course of a game with limited amount of resources present in the setting. As opposed to comparable turn-based adversarial games such as chess and go, opponents do not wait for each others¿ moves so the game progresses naturally with units interacting each other in real time. As a result of the real-time nature of the game, the complexity of the game dramatically increases. In recent years, there has been an increasing interest in RTS games in the artificial intelligence community, especially from the perspective of reinforcement learning, to create an agent to play the RTS game, due to the problem¿s large state-action space. Modeling and implementing an efficient learning agent that is able to cope with the large state space is a difficult task. Seller Inventory # 34299850/2
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A Heterogeneous Multi-Agent Intelligent Player : For a Real-Time Strategy Game
Published by
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 3659938904
ISBN 13: 9783659938900
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Seller: Buchpark, Trebbin, Germany
Seller rating 5 out of 5 stars
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | A Real-time Strategy (RTS) game is an adversarial game where the participants position and maneuver units and structures under their control to secure areas of the map and/or win by destroying their opponents¿ units and structures. It is possible to train new units and build new structures during the course of a game with limited amount of resources present in the setting. As opposed to comparable turn-based adversarial games such as chess and go, opponents do not wait for each others¿ moves so the game progresses naturally with units interacting each other in real time. As a result of the real-time nature of the game, the complexity of the game dramatically increases. In recent years, there has been an increasing interest in RTS games in the artificial intelligence community, especially from the perspective of reinforcement learning, to create an agent to play the RTS game, due to the problem¿s large state-action space. Modeling and implementing an efficient learning agent that is able to cope with the large state space is a difficult task. Seller Inventory # 34299850/1
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