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» Planning and Acting in Incomplete Domains
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AIPS
2006
14 years 7 days ago
Goal Achievement in Partially Known, Partially Observable Domains
We present a decision making algorithm for agents that act in partially observable domains which they do not know fully. Making intelligent choices in such domains is very difficu...
Allen Chang, Eyal Amir
IJCAI
2001
14 years 7 days ago
SiN: Integrating Case-based Reasoning with Task Decomposition
This paper describes SiN, a novel case-based planning algorithm that combines conversational case retrieval with generative planning. SiN is provably correct, and can generate pla...
Héctor Muñoz-Avila, David W. Aha, Da...
AAAI
2007
14 years 1 months ago
Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
In timed, zero-sum games, the goal is to maximize the probability of winning, which is not necessarily the same as maximizing our expected reward. We consider cumulative intermedi...
Colin McMillen, Manuela M. Veloso
SARA
2005
Springer
14 years 4 months ago
Synthesizing Plans for Multiple Domains
Intelligent agents acting in real world environments need to synthesize their course of action based on multiple sources of knowledge. They also need to generate plans that smoothl...
Abdelbaki Bouguerra, Lars Karlsson
ATAL
2008
Springer
14 years 26 days ago
Continual collaborative planning for mixed-initiative action and interaction
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
Michael Brenner