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Action selection

Known as: Action selection mechanism, Action selection problem 
Action selection is a way of characterizing the most basic problem of intelligent systems: what to do next. In artificial intelligence and… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
As the brain purportedly employs on-policy reinforcement learning compatible with SARSA learning, and most interesting cognitive… 
2017
2017
This paper develops an inverse reinforcement learning algorithm aimed at recovering a reward function from the observed actions… 
2014
2014
It is worth noticing that a great deal of interest has recently been paid by the financial literature with respect to the… 
2013
2013
In this paper, we present HIS-OwlSpeak, a model-driven dialogue manager for Intelligent Environments. It aims at providing a… 
2012
2012
Solving real planning problems requires to consider spatial and temporal information. Indeed, to be solved more efficiently many… 
2006
2006
Nicolas Gomond and Jean-Marc SalottiLaboratoire de Sciences CognitivesBordeaux Victor Segalen University - FranceAbstract. Due to… 
2005
2005
Current and future NASA robotic missions to planetary surfaces are tending toward longer duration and are becoming more ambitious… 
2004
2004
This paper focuses on the dynamics that can emerge from animat populations [7] when the individuals can only use single sensori… 
1998
1998
The most conventional approach to a speech based interface has been to achieve an explicit goal as a result of spoken dialogue… 
1998
1998
We propose a representation scheme for the declarative formalization of strategies based on the situation calculus and…