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» Descriptions of Game Actions
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AAAI
1998
13 years 10 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier
IJIS
2007
94views more  IJIS 2007»
13 years 9 months ago
The eightfold way of deliberation dialogue
Deliberation dialogues occur when two or more participants seek to jointly agree an action or a course of action in some situation. We present the first formal framework for such...
Peter McBurney, David Hitchcock, Simon Parsons
ANOR
2002
92views more  ANOR 2002»
13 years 8 months ago
Nash Equilibrium and Subgame Perfection in Observable Queues
A subgame perfection refinement of Nash equilibrium is suggested for games of the following type: each of an infinite number of identical players selects an action using his privat...
Refael Hassin, Moshe Haviv
ICMLA
2009
13 years 6 months ago
Multiagent Transfer Learning via Assignment-Based Decomposition
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
Scott Proper, Prasad Tadepalli
DSVIS
2003
Springer
14 years 2 months ago
Higher-Order Task Models
Based on a revision of the common task understanding in model-based approaches a formal meta model is proposed which allows more expressive task descriptions. A task is considered ...
Anke Dittmar, Peter Forbrig