Offline learning

In machine learning, systems which employ offline learning do not change their approximation of the target function when the initial training phase… (More)
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BackpropagationEager learningLearning classifier systemOnline algorithm
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Machine learning

Papers overview

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2017
2017
Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning
Finding feasible, collision-free paths for multiagent systems can be challenging, particularly in non-communicating scenarios… (More)
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2016
2016
Serendipitous Offline Learning in a Neuromorphic Robot
We demonstrate a hybrid neuromorphic learning paradigm that learns complex sensorimotor mappings based on a small set of hard… (More)
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Highly Cited
2015
Highly Cited
2015
Learning to Track: Online Multi-object Tracking by Decision Making
Online Multi-Object Tracking (MOT) has wide applications in time-critical video analysis scenarios, such as robot navigation and… (More)
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Highly Cited
2012
Highly Cited
2012
Differentially Private Online Learning
In this paper, we consider the problem of preserving privacy in the context of online learning. Online learning involves learning… (More)
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2010
2010
Offline Learning for Online Difficulty Prediction
  • martin. mladenov
  • 2010
In this paper we aim at automatically adjusting the difficulty of computer games in an online fashion while utilising the power… (More)
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Highly Cited
2009
Highly Cited
2009
Flow mosaicking: Real-time pedestrian counting without scene-specific learning
In this paper, we present a novel algorithm based on flow velocity field estimation to count the number of pedestrians across a… (More)
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Highly Cited
2003
Highly Cited
2003
Nash Q-Learning for General-Sum Stochastic Games
We extend Q-learning to a noncooperative multiagent context, using the framework of generalsum stochastic games. A learning agent… (More)
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2003
2003
IMPROVING OPPONENT INTELLIGENCE THROUGH OFFLINE EVOLUTIONARY LEARNING
Artificially intelligent opponents in commercial computer games are almost exclusively controlled by manuallydesigned scripts… (More)
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Highly Cited
2002
Highly Cited
2002
DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction
This paper introduces a new type of fuzzy inference systems, denoted as dynamic evolving neural-fuzzy inference system (DENFIS… (More)
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1997
1997
Online Learning versus Offline Learning
We present an off-line variant of the mistake-bound model of learning. This is an intermediate model between the on-line learning… (More)
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