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ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
15 years 11 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...
APSEC
2004
IEEE
15 years 8 months ago
Modeling the Impact of a Learning Phase on the Business Value of a Pair Programming Project
Pair programmers need a "warmup phase" before the pair can work at full speed. The length of the learning interval varies, depending on how experienced the developers are...
Frank Padberg, Matthias M. Müller
C5
2004
IEEE
15 years 8 months ago
Enabling Social Dimensions of Learning through a Persistent, Unified, Massively Multi-User, and Self-Organizing Virtual Environm
Existing online learning experiences lack the social dimension that characterizes learning in the real world. This social dimension extends beyond the traditional classroom into t...
Julian Lombardi, Mark P. McCahill
CLIMA
2004
15 years 6 months ago
Learning in BDI Multi-agent Systems
Abstract. This paper deals with the issue of learning in multi-agent systems (MAS). Particularly, we are interested in BDI (Belief, Desire, Intention) agents. Despite the relevance...
Alejandro Guerra-Hernández, Amal El Fallah-...
NIPS
1998
15 years 5 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller