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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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659938900
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659938900
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Vendeur : moluna, Greven, Allemagne
Etat : 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. N° de réf. du vendeur 385771014
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 64 pages. 8.66x5.91x0.28 inches. In Stock. N° de réf. du vendeur 3659938904
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659938900
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 116119687
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Vendeur : Buchpark, Trebbin, Allemagne
Etat : 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. N° de réf. du vendeur 34299850/2
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Vendeur : Buchpark, Trebbin, Allemagne
Etat : 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. N° de réf. du vendeur 34299850/1
Quantité disponible : 1 disponible(s)