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EWCBR
2008
Springer
13 years 9 months ago
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...
AAAI
2006
13 years 9 months ago
Know Thine Enemy: A Champion RoboCup Coach Agent
In a team-based multiagent system, the ability to construct a model of an opponent team's joint behavior can be useful for determining an agent's expected distribution o...
Gregory Kuhlmann, William B. Knox, Peter Stone
ICMAS
1998
13 years 9 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
FUNGAMES
2008
13 years 8 months ago
Building RFID-Based Augmented Dice with Perfect Recognition Rates
We report on the construction of real-world dice equipped with radio frequency identification (RFID) technology that support the automated readout and processing of rolled results....
Steve Hinske, Marc Langheinrich, Yves Alter
ECAI
2010
Springer
13 years 7 months ago
Higher-Order Coalition Logic
We introduce and study higher-order coalition logic, a multi modal monadic second-order logic with operators [{x}] expressing that the coalition of all agents satisfying (x) can ac...
Guido Boella, Dov M. Gabbay, Valerio Genovese, Lee...