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» A Multiagent Variant of Dyna-Q
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AROBOTS
1999
104views more  AROBOTS 1999»
13 years 5 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
AAAI
2011
12 years 5 months ago
The Epistemic Logic Behind the Game Description Language
A general game player automatically learns to play arbitrary new games solely by being told their rules. For this purpose games are specified in the game description language GDL...
Ji Ruan, Michael Thielscher
SIAMCO
2010
132views more  SIAMCO 2010»
13 years 1 days ago
Continuous-Time Average-Preserving Opinion Dynamics with Opinion-Dependent Communications
We study a simple continuous-time multiagent system related to Krause's model of opinion dynamics: each agent holds a real value, and this value is continuously attracted by e...
Vincent D. Blondel, Julien M. Hendrickx, John N. T...
IAT
2006
IEEE
13 years 11 months ago
Towards High-Level Programming for Distributed Problem Solving
We present a new approach to distributed problem solving based on high-level program execution. While this technique has proven itself for single-agent systems based on the Golog ...
Ryan F. Kelly, Adrian R. Pearce
ATAL
2010
Springer
13 years 6 months ago
CTL.STIT: enhancing ATL to express important multi-agent system verification properties
We present the logic CTL.STIT, which is the join of the logic CTL with a multi-agent strategic stit-logic variant. CTL.STIT subsumes ATL, and adds expressivity to it that we claim...
Jan Broersen