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» Observation Can Be as Effective as Action in Problem Solving
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FLAIRS
2006
13 years 8 months ago
One-Shot Procedure Learning from Instruction and Observation
Learning tasks from a single demonstration presents a significant challenge because the observed sequence is inherently an incomplete representation of the procedure that is speci...
Hyuckchul Jung, James F. Allen, Nathanael Chambers...
PRICAI
2004
Springer
14 years 24 days ago
On the Intended Interpretations of Actions
Abstract. In this paper we address the problem of commonsense reasoning about action by appealing to Occam’s razor—we should accept the simplest hypothesis explaining the obser...
Victor Jauregui, Maurice Pagnucco, Norman Y. Foo
AI
2001
Springer
13 years 12 months ago
Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
Bob Price, Craig Boutilier
CVPR
2008
IEEE
14 years 9 months ago
Discriminative human action segmentation and recognition using semi-Markov model
Given an input video sequence of one person conducting a sequence of continuous actions, we consider the problem of jointly segmenting and recognizing actions. We propose a discri...
Qinfeng Shi, Li Wang, Li Cheng, Alexander J. Smola
ICRA
2008
IEEE
167views Robotics» more  ICRA 2008»
14 years 1 months ago
An approximate algorithm for solving oracular POMDPs
Abstract— We propose a new approximate algorithm, LAJIV (Lookahead J-MDP Information Value), to solve Oracular Partially Observable Markov Decision Problems (OPOMDPs), a special ...
Nicholas Armstrong-Crews, Manuela M. Veloso