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» Planning with an Adaptive World Model
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JAIR
2007
127views more  JAIR 2007»
13 years 5 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
PUK
2000
13 years 7 months ago
Knowledge-Based Control of Decision Theoretic Planning - Adaptive Planning Model Selection
This paper proposes a new planning architecture for agents operating in uncertain and dynamic environments. Decisiontheoretic planning has been recognized as a useful tool for rea...
Jun Miura, Yoshiaki Shirai
ICML
2009
IEEE
14 years 6 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
IAT
2008
IEEE
13 years 5 months ago
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...
Budhitama Subagdja, Ah-Hwee Tan
ECAI
2000
Springer
13 years 10 months ago
Graph Based Representation of Dynamic Planning
Dynamic planning concerns the planning and execution of actions in a dynamic, real world environment. Its goal is to take into account changes generated by unpredicted events occur...
Pavlos Moraitis, Alexis Tsoukiàs