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AAAI
2004
15 years 7 months ago
Encoding Probabilistic Causal Model in Probabilistic Action Language
Pearl's probabilistic causal model has been used in many domains to reason about causality. Pearl's treatment of actions is very different from the way actions are repre...
Nam Tran, Chitta Baral
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
16 years 12 days ago
Constructing action set from basis functions for reinforcement learning of robot control
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
Akihiko Yamaguchi, Jun Takamatsu, Tsukasa Ogasawar...
ASP
2005
Springer
15 years 11 months ago
Modeling Hybrid Domains Using Process Description Language
In previous work, action languages have predominantly been concerned with domains in which values are static unless changed by an action. Real domains, however, often contain value...
Sandeep Chintabathina, Michael Gelfond, Richard Wa...
ICCV
2005
IEEE
15 years 11 months ago
Behaviour Understanding in Video: A Combined Method
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
ICDCS
1990
IEEE
15 years 9 months ago
Implementing Fault-Tolerant Distributed Applications
This paper develops some control structures suitable for composing fault-tolerant distrib uted applications using atomic actions (atomic transactions) as building blocks, and then...
Santosh K. Shrivastava, Stuart M. Wheater