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» Parameterized Learning Complexity
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HIS
2008
15 years 4 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
ATAL
2007
Springer
15 years 8 months ago
Towards reinforcement learning representation transfer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...
Matthew E. Taylor, Peter Stone
151
Voted
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
15 years 7 months ago
Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Yasutake Takahashi, Kazuhiro Edazawa, Minoru Asada
ICALT
2009
IEEE
15 years 5 months ago
Conditioning Factors for Group Management in Blended Learning Scenarios
The management of groups is an essential task in collaborative learning scenarios. In a blended learning situation, in which online activities and face-to-face activities are comb...
Mar Pérez-Sanagustín, Davinia Hern&a...
109
Voted
ICALT
2005
IEEE
15 years 8 months ago
An Ontology-Based Approach to Supporting Didactics in E-Learning Systems
Recent developments in E-Learning systems aim at providing a better support for didactics-aware learning scenarios. Typically, in order to provide that support the number and comp...
Denis Helic