60 search results - page 1 / 12 » DFA Learning of Opponent Strategies |
FLAIRS
1998
13 years 6 months ago
1998
This work studies the control of robots in the adversarial world of "Hunt the Wumpus". The hybrid learning algorithm which controls the robots behavior is a combination ...
ICMAS
1998
13 years 6 months ago
1998
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...
FLAIRS
2011
12 years 8 months ago
2011
In a competitive game it is important to identify the opponent’s strategy as quickly and accurately as possible so that an effective response can be staged. In this vain, this p...
AAAI
2006
13 years 6 months ago
2006
Many learning tasks in adversarial domains tend to be highly dependent on the opponent. Predefined strategies optimized for play against a specific opponent are not likely to succ...
AAMAS
2005
Springer
13 years 4 months ago
2005
Springer
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...