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IJCAI
2007
15 years 7 months ago
Heuristic Selection of Actions in Multiagent Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
WICSA
2008
15 years 7 months ago
Ready! Set! Go! An Action Research Agenda for Software Architecture Research
Software architecture practice is highly complex. Software architects interact with business as well as technical aspects of systems, often embedded in large and changing organiza...
Henrik Bærbak Christensen, Klaus Marius Hans...
152
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ICAI
2004
15 years 7 months ago
Action Inhibition
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
Myriam Abramson
UAI
1997
15 years 7 months ago
Correlated Action Effects in Decision Theoretic Regression
Much recent research in decision theoretic planning has adopted Markov decision processes (MDPs) as the model of choice, and has attempted to make their solution more tractable by...
Craig Boutilier
SOCROB
2010
120views Robotics» more  SOCROB 2010»
15 years 4 months ago
Selection of Actions for an Autonomous Social Robot
Autonomy is a prime issue on robotics field and it is closely related to decision making. Last researches on decision making for social robots are focused on imitating humans’ m...
Álvaro Castro-González, Maria Malfaz...