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103
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ICMAS
1998
15 years 2 months ago
How to Explore your Opponent's Strategy (almost) Optimally
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
David Carmel, Shaul Markovitch
100
Voted
AAAI
1994
15 years 2 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen
ECAI
2010
Springer
15 years 1 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
109
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ECAI
2010
Springer
15 years 1 months ago
A Motivation-Based Mechanism to Design Behaviors
In human-level simulations, like video games can be, the design of character's behaviors has an important impact on simulation realism. We propose to divide it into a reasonin...
Tony Dujardin, Jean-Christophe Routier
IJNSEC
2008
119views more  IJNSEC 2008»
15 years 21 days ago
Pass-Go: A Proposal to Improve the Usability of Graphical Passwords
Inspired by an old Chinese game, Go, we have designed a new graphical password scheme, Pass-Go, in which a user selects intersections on a grid as a way to input a password. While...
Hai Tao, Carlisle Adams