154 search results - page 6 / 31 » Sample-Efficient Evolutionary Function Approximation for Rei... |
AMAI
2004
Springer
14 years 1 months ago
2004
Springer
ICINCO
2008
13 years 9 months ago
2008
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
IAT
2003
IEEE
14 years 29 days ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...