87 search results - page 10 / 18 » Direct Policy Search Reinforcement Learning for Robot Contro... |
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
IEEEPACT
2008
IEEE
14 years 3 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
ATAL
2009
Springer
14 years 3 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
NIPS
1992
13 years 10 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
We address the problem of autonomously learning controllers for visioncapable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for genera...