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...
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...
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...
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...
This paper develops some control structures suitable for composing fault-tolerant distrib uted applications using atomic actions (atomic transactions) as building blocks, and then...