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- 1Actor-critic methods
- 2Bowling, Michael
- 1Bard, Nolan DC
- 1Bartók, Gábor
- 1Campbell, Katherine
- 1Fay Fletcher (Supervisor)
- 1Fernyhough, Lois E.
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The culture of the young may increasingly be seen as a harbinger enticing us to follow a pathway from which will emerge the re-conceptualized educational practices of a new century. This research set out to discover where the highways of the Internet would lead me, the researcher-practitioner, in...
Technical report TR04-11. Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, thus undermining convergence guarantees. Second, learning is often susceptible to...
In this study, the experiences of seven female health professionals learning online are examined and, in this context, the implications for online course designs and future research are discussed. The instruments of data collection include individual telephone interviews, journals written by the...
On the one hand, theoretical analyses of machine learning algorithms are typically performed based on various probabilistic assumptions about the data. While these probabilistic assumptions are important in the analyses, it is debatable whether such assumptions actually hold in practice. Another...
Current statistics suggest women form the majority of online learners. Their enrollment levels may be a result of promotional materials suggesting online learning allows learners access to flexible learning opportunities that will complement their busy lives. This research questions those...
Motivation and the information behaviours of online learning students: the case of a professionally-oriented, graduate programDownload
Online learning is a wonderful opportunity for students who cannot attend classes at conventional times and places to further their education. However, to some extent, accessing and sharing information is often quite different and potentially more difficult for this particular group (e.g., they...
Online learning aims to perform nearly as well as the best hypothesis in hindsight. For some hypothesis classes, though, even finding the best hypothesis offline is challenging. In such offline cases, local search techniques are often employed and only local optimality guaranteed. For online...