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» Learning of Agents with Limited Resources
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AAAI
2007
13 years 10 months ago
Concurrent Action Execution with Shared Fluents
Concurrent action execution is important for plan-length minimization. However, action specifications are often limited to avoid conflicts arising from precondition/effect inter...
Michael Buro, Alexander Kovarsky
AAAI
1998
13 years 9 months ago
Learning Investment Functions for Controlling the Utility of Control Knowledge
The utility problem occurs when the cost of the acquired knowledge outweighs its bene ts. When the learner acquires control knowledge for speeding up a problem solver, the bene t ...
Oleg Ledeniov, Shaul Markovitch
ICML
1995
IEEE
14 years 8 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...
MLMI
2004
Springer
14 years 1 months ago
Piecing Together the Emotion Jigsaw
People are emotional, and machines are not. That constrains their communication, and defines a key challenge for the information sciences. Different groups have addressed it from d...
Roddy Cowie, Marc Schröder
ATAL
2005
Springer
14 years 1 months ago
Reasoning about joint beliefs for execution-time communication decisions
Just as POMDPs have been used to reason explicitly about uncertainty in single-agent systems, there has been recent interest in using multi-agent POMDPs to coordinate teams of age...
Maayan Roth, Reid G. Simmons, Manuela M. Veloso