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Temporal difference learning

Known as: TD lambda, Temporal-difference learning, Temporal Difference 
Temporal difference (TD) learning is a prediction-based machine learning method. It has primarily been used for the reinforcement learning problem… 
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Related topics

Related topics

15 relations
AlgorithmBellman equationDynamic programmingGlossary of artificial intelligence

Broader (1)

Computational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Playing Hanabi Near-Optimally
This paper describes a study on the game of Hanabi, a multi-player cooperative card game in which a player sees the cards of the… 
2012
2012
Dynamic prosody modification using zero frequency filtered signal
Modifying the prosody parameters like pitch, duration and strength of excitation by desired factor is termed as prosody… 
2012
2012
Mapping Paddy Rice Varieties Using Multi-temporal RADARSAT SAR Images
This study classified paddy fields according to rice varieties and monitored temporal changes in rice growth using SAR… 
2010
2010
A 64 $\times$ 64 Pixels UWB Wireless Temporal-Difference Digital Image Sensor
In this paper we present a low power temporal-difference image sensor with wireless communication capability designed… 
2009
2009
Motion Detection Based on Temporal Difference Method and Optical Flow field
A motion detection method based on temporal difference and optical flow field is proposed in this paper. Firstly, an absolute… 
Highly Cited
2007
Highly Cited
2007
A Time Domain Formulation of the Uniform Geometrical Theory of Diffraction for Scattering From a Smooth Convex Surface
A time-domain version of the uniform geometrical theory of diffraction (TD-UTD) is developed to describe, in closed form, the… 
2006
2006
Equi-Gradient Temporal Difference Learning
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they… 
2003
2003
UWB multipath channel model based on time-domain UTD technique
In this paper, we develop a deterministic UWB multipath channel model based on time-domain uniform geometrical theory of… 
2000
2000
Computationally intensive and noisy tasks: co-evolutionary learning and temporal difference learning on Backgammon
  • P. Darwen
  • Proceedings of the Congress on Evolutionary…
  • 2000
  • Corpus ID: 6459400
The most difficult but realistic learning tasks are both noisy and computationally intensive. This paper investigates how, for a… 
1998
1998
Spectral stability based event localizing temporal decomposition
A new approach to temporal decomposition (TD) of speech, called "spectral stability based event localizing temporal decomposition… 
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