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14 years 4 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf
ICML
2009
IEEE
16 years 6 months ago
Proto-predictive representation of states with simple recurrent temporal-difference networks
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Takaki Makino
ECTEL
2009
Springer
16 years 18 days ago
Towards a Theory of Socio-technical Interactions
Technology enhanced learning environments are characterized by socio-technical interactions. Socio-technical interactions involve individuals interacting with (a) technologies, and...
Ravi K. Vatrapu
ICALT
2005
IEEE
15 years 11 months ago
Authoring Educational Topic Maps: Can We Make It Easier?
In this paper we examine some problems related to capturing the structure and the topic name space of learning content in the context of Topic Map authoring. We demonstrate that t...
Darina Dicheva, Christo Dichev
AIED
2005
Springer
15 years 11 months ago
On the Prospects of Intelligent Collaborative E-learning Systems
Collaborative learning is question-driven and open-ended by nature. Many of the techniques developed for intelligent tutoring are applicable only in more structured settings, but f...
Miikka Miettinen, Jaakko Kurhila, Henry Tirri