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» Planning Partially for Situated Agents
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ATAL
2010
Springer
13 years 10 months ago
Distributed coordination of mobile agent teams: the advantage of planning ahead
We consider the problem of coordinating a team of agents engaged in executing a set of inter-dependent, geographically dispersed tasks in an oversubscribed and uncertain environme...
Laura Barbulescu, Zachary B. Rubinstein, Stephen F...
ECML
2005
Springer
14 years 2 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
ATAL
2008
Springer
13 years 11 months ago
Interaction-driven Markov games for decentralized multiagent planning under uncertainty
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
Matthijs T. J. Spaan, Francisco S. Melo
AAAI
1997
13 years 10 months ago
Planning with Concurrent Interacting Actions
In order to generate plans for agents with multiple actuators or agent teams, we must be able to represent and plan using concurrent actions with interacting effects. Historically...
Craig Boutilier, Ronen I. Brafman
AI
1999
Springer
13 years 8 months ago
Using Grice's maxim of Quantity to select the content of plan descriptions
Intelligent systems are often called upon to form plans that direct their own or other agents' activities. For these systems, the ability to describe plans to people in natur...
R. Michael Young