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CONNECTION
2008
109views more  CONNECTION 2008»
13 years 7 months ago
Object schemas for grounding language in a responsive robot
We introduce an approach for physically-grounded natural language interpretation by robots which reacts appropriately to unanticipated physical changes in the environment and dyna...
Kai-yuh Hsiao, Stefanie Tellex, Soroush Vosoughi, ...
NEUROSCIENCE
2001
Springer
13 years 12 months ago
Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle
The Brain is a slow computer yet humans can skillfully play games such as tennis where very fast reactions are required. Of particular interest is the evidence for strategic thinki...
Guido Bugmann
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
HCI
2009
13 years 5 months ago
Statistics-Based Cognitive Human-Robot Interfaces for Board Games - Let's Play!
Abstract. The archetype of many novel research activities is called cognition. Although separate definitions exist to define a technical cognitive system, it is typically character...
Frank Wallhoff, Alexander Bannat, Jürgen Gast...
ABIALS
2008
Springer
13 years 9 months ago
Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Matthias Rungger, Hao Ding, Olaf Stursberg