Dynamic programming: deterministic and stochastic models
Dynamic programming: deterministic and stochastic models
Proceedings of the seventh international conference (1990) on Machine learning
A role for anticipation in reactive systems that learn
Proceedings of the sixth international workshop on Machine learning
Learning to Predict by the Methods of Temporal Differences
Machine Learning
The Dynamic Structure of Everyday Life
The Dynamic Structure of Everyday Life
Vision, Instruction, and Action
Vision, Instruction, and Action
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Meliora is a system being developed at the University of Rochester that learns to assemble objects from random piles of blocks. It is a testbed for exploring issues in Integrated Architectures. It is based on a control architecture that is reactive, adaptive, has an active -but limited- sensory system, has a limited internal representation, and does not depend on a priori domain knowledge. In these working notes, we describe Meliora's control architecture, discuss its features and limitations, and describe how it can be integrated with more "intelligent" mechanisms that improve its performance. The notes are organized around the question set laid out by the Program Committee.