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)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Finding feasible, collision-free paths for multiagent systems can be challenging, particularly in non-communicating scenarios… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 4
Is this relevant?
2016
2016
We demonstrate a hybrid neuromorphic learning paradigm that learns complex sensorimotor mappings based on a small set of hard… (More)
Is this relevant?
Highly Cited
2015
Highly Cited
2015
Online Multi-Object Tracking (MOT) has wide applications in time-critical video analysis scenarios, such as robot navigation and… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 5
Is this relevant?
Highly Cited
2012
Highly Cited
2012
In this paper, we consider the problem of preserving privacy in the context of online learning. Online learning involves learning… (More)
  • figure 1
  • figure 2
Is this relevant?
2010
2010
  • 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)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
2009
Highly Cited
2009
In this paper, we present a novel algorithm based on flow velocity field estimation to count the number of pedestrians across a… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2003
Highly Cited
2003
We extend Q-learning to a noncooperative multiagent context, using the framework of generalsum stochastic games. A learning agent… (More)
  • table 1
  • table 2
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
2003
2003
Artificially intelligent opponents in commercial computer games are almost exclusively controlled by manuallydesigned scripts… (More)
  • figure 1
  • figure 3
  • table 1
  • figure 5
  • figure 4
Is this relevant?
Highly Cited
2002
Highly Cited
2002
This paper introduces a new type of fuzzy inference systems, denoted as dynamic evolving neural-fuzzy inference system (DENFIS… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
1997
1997
We present an off-line variant of the mistake-bound model of learning. This is an intermediate model between the on-line learning… (More)
Is this relevant?