Walton Rivers, J and Williams, PR and Bartle, R and Perez Liebana, D and Lucas, SM (2017) Evaluating and modelling Hanabi-playing agents. In: IEEE Congress on Evolutionary Computation (CEC), 2017, 2017-06-05 - 2017-06-08, San Sebastian, Spain.
Walton Rivers, J and Williams, PR and Bartle, R and Perez Liebana, D and Lucas, SM (2017) Evaluating and modelling Hanabi-playing agents. In: IEEE Congress on Evolutionary Computation (CEC), 2017, 2017-06-05 - 2017-06-08, San Sebastian, Spain.
Walton Rivers, J and Williams, PR and Bartle, R and Perez Liebana, D and Lucas, SM (2017) Evaluating and modelling Hanabi-playing agents. In: IEEE Congress on Evolutionary Computation (CEC), 2017, 2017-06-05 - 2017-06-08, San Sebastian, Spain.
Abstract
Agent modelling involves considering how other agents will behave, in order to influence your own actions. In this paper, we explore the use of agent modelling in the hidden-information, collaborative card game Hanabi. We implement a number of rule-based agents, both from the literature and of our own devising, in addition to an Information Set-Monte Carlo Tree Search (IS-MCTS) agent. We observe poor results from IS-MCTS, so construct a new, predictor version that uses a model of the agents with which it is paired. We observe a significant improvement in game-playing strength from this agent in comparison to IS-MCTS, resulting from its consideration of what the other agents in a game would do. In addition, we create a flawed rule-based agent to highlight the predictor's capabilities with such an agent.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Notes: Proceedings of the IEEE Conference on Evolutionary Computation (2017) |
Uncontrolled Keywords: | cs.AI |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 08 Sep 2017 13:00 |
Last Modified: | 30 Oct 2024 17:08 |
URI: | http://repository.essex.ac.uk/id/eprint/20341 |
Available files
Filename: 1704.07069v1.pdf