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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.
Highly Cited
2018
Highly Cited
2018
The deep reinforcement learning community has made several independent improvements to the DQN algorithm. However, it is… 
Highly Cited
2007
Highly Cited
2007
A crucial skill for fluent action meshing in human team activity is a learned and calculated selection of anticipatory actions… 
Highly Cited
2007
Highly Cited
2007
Highly Cited
2005
Highly Cited
2005
Temporal-difference reinforcement learning (RL) has been successfully applied in several domains with large state sets. Large… 
Highly Cited
2004
Highly Cited
2004
Highly Cited
2001
Highly Cited
2001
We present a principled and efficient planning algorithm for cooperative multiagent dynamic systems. A striking feature of our… 
Highly Cited
1999
Highly Cited
1999
This paper presents solutions for one requirement of autonomous characters in animation and games: the ability to navigate around… 
Highly Cited
1998
Highly Cited
1998
Highly Cited
1993
Highly Cited
1993
Imagine a zebra in the African savannah. At each moment in time this zebra has to weigh up alternative courses of action before… 
Highly Cited
1989
Highly Cited
1989
The paper addresses the problem of action selection for an autonomous agent. An autonomous agent is viewed as a collection of…