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Q-learning

Known as: Q learning 
Q-learning is a model-free reinforcement learning technique. Specifically, Q-learning can be used to find an optimal action-selection policy for any… 
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Related topics

Related topics

15 relations
Agent-based computational economicsArtificial neural networkCognitive architectureDeep learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Air-Combat Strategy Using Deep Q-Learning
Unmanned aircraft systems (UAS) are essential components in the future air-combat. Due to high dynamics and randomness of the… 
2016
2016
Effective service composition using multi-agent reinforcement learning
Highly Cited
2014
Highly Cited
2014
Design and Optimization of a (FA)Q-Learning-based HTTP Adaptive Streaming Client
, 
Highly Cited
2011
Highly Cited
2011
Q-learning based congestion-aware routing algorithm for on-chip network
Network congestion can limit performance of NoC due to increased transmission latency and power consumption. Congestion-aware… 
Highly Cited
2008
Highly Cited
2008
A quality of service negotiation-based vertical handoff decision scheme in heterogeneous wireless systems
2008
2008
Hybrid Dynamic Control Algorithm for Humanoid Robots Based on Reinforcement Learning
In this paper, hybrid integrated dynamic control algorithm for humanoid locomotion mechanism is presented. The proposed structure… 
Highly Cited
2004
Highly Cited
2004
Organization-based cooperative coalition formation
The coalition formation problem has received a considerable amount of attention in recent years. In this work we present a novel… 
2002
2002
Cooperation in multi-agent bidding
Review
1999
Review
1999
State of XCS Classifier System Research
XCS is a new kind of learning classifier system that differs from the traditional kind primarily in its definition of classifier… 
Highly Cited
1998
Highly Cited
1998
ASGA: Improving the Ant System by Integration with Genetic Algorithms
1 Email: oppacher@scs.carleton.ca ABSTRACT This paper describes how the Ant System can be improved by selfadaptation of its… 
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