128 search results - page 22 / 26 » Planning, Execution and Learning in a Robotic Agent |
107
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NEUROSCIENCE
2001
Springer
15 years 1 months ago
2001
Springer
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...
ROBOCUP
2009
Springer
15 years 4 months ago
2009
Springer
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
AAAI
2010
14 years 11 months ago
2010
The results of the latest International Probabilistic Planning Competition (IPPC-2008) indicate that the presence of dead ends, states with no trajectory to the goal, makes MDPs h...
86
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AAAI
1992
14 years 10 months ago
1992
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...