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AAAI
2011
12 years 10 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
ICML
2007
IEEE
14 years 10 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton
AAAI
2006
13 years 11 months ago
Reasoning about Partially Observed Actions
Partially observed actions are observations of action executions in which we are uncertain about the identity of objects, agents, or locations involved in the actions (e.g., we kn...
Megan Nance, Adam Vogel, Eyal Amir
UAI
2008
13 years 11 months ago
Sampling First Order Logical Particles
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
Hannaneh Hajishirzi, Eyal Amir
ALGORITHMICA
2000
106views more  ALGORITHMICA 2000»
13 years 9 months ago
Algorithms for Sensorless Manipulation Using a Vibrating Surface
We describe a programmable apparatus that uses a vibrating surface for sensorless, nonprehensile manipulation, where parts are systematically positioned and oriented without sensor...
Karl-Friedrich Böhringer, Vivek Bhatt, Bruce ...