Home > Search Results: keywords:"opponent modelling"
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Opponent Modelling in Games with Imperfect Information
 Kovačič, Milan ; Schmid, Martin (advisor) ; Hartman, David (referee)
The main concern of this paper is the problem of opponent modeling. The goal of this work is to introduce reasonable selection of techniques, which model the opponent's behavior and use it in effective way. In this work I focused on explanation of fundamental terms, introduction of relevant techniques and safety of opponent modeling considering the game of poker. The research showed that effective opponent modeling is indeed possible with reasonable safety and surprising effectivity in comparison with pessimistic equilibrium techniques.
Detailed record
Integrating Probabilistic Model for Detecting Opponent Strategies Into a Starcraft Bot
 Šmejkal, Pavel ; Černý, Martin (advisor) ; Bída, Michal (referee)
Recent research in artificial intelligence (AI) for real time strategies (RTS) has shown a great need for a computer controlled agent (bot) to be able to adapt its strategy in response to opponent's actions. While some progress has been made in detecting opponent's strategies offline, there has not been much success in using this information to guide in-game decisions. We present a version of UAlbertaBot enhanced by existing probabilistic algorithm for supervised learning from replays and strategy prediction. Bot that adapts its strategies has proved to be superior to a random bot as we show in simulated StarCraft: Brood War AI tournament. Our work exposes the importance of scouting and strategy adaptation. By further improvement of strategies, a bot capable of competing with human players may be created.
Detailed record
Opponent Modelling in Games with Imperfect Information
 Kovačič, Milan ; Schmid, Martin (advisor) ; Hartman, David (referee)
The main concern of this paper is the problem of opponent modeling. The goal of this work is to introduce reasonable selection of techniques, which model the opponent's behavior and use it in effective way. In this work I focused on explanation of fundamental terms, introduction of relevant techniques and safety of opponent modeling considering the game of poker. The research showed that effective opponent modeling is indeed possible with reasonable safety and surprising effectivity in comparison with pessimistic equilibrium techniques.
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English