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12 years 8 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
ICAART
2010
INSTICC
14 years 6 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
AIED
2007
Springer
14 years 3 months ago
Situation Creator: A Pedagogical Agent Creating Learning Opportunities
In a multi-user, real-time, and situation-based learning environment, the availability of enough and appropriate situations is crucial for success. In order to improve effectivenes...
Yongwu Miao, Heinz Ulrich Hoppe, Niels Pinkwart
CRITICAL
2005
13 years 11 months ago
Learning management systems: the need for critical analyses
Learning management systems (LMSs) are receiving much attention in Nordic education. While they undoubtedly provide opportunities for educational innovations and can efficiently f...
Eevi E. Beck
ECAI
2006
Springer
13 years 11 months ago
Return of the JTMS: Preferences Orchestrate Conflict Learning and Solution Synthesis
We use a lexicographical preference order on the problem space to combine solution synthesis with conflict learning. Given two preferred solutions of two subproblems, we can either...
Ulrich Junker, Olivier Lhomme