567 search results - page 7 / 114 » Regularized Policy Iteration |
116
Voted
AAAI
2006
15 years 4 months ago
2006
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
100
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ESOP
2007
Springer
15 years 8 months ago
2007
Springer
We give a new practical algorithm to compute, in finite time, a fixpoint (and often the least fixpoint) of a system of equations in the abstract numerical domains of zones and t...
125
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JMLR
2002
15 years 2 months ago
2002
We consider a finite-state Markov decision problem and establish the convergence of a special case of optimistic policy iteration that involves Monte Carlo estimation of Q-values,...
118
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ICRA
2009
IEEE
15 years 9 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...
140
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NIPS
2001
15 years 4 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...