127 search results - page 3 / 26 » A linear approximation method for the Shapley value |
100
click to vote
NN
2010
Springer
14 years 4 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
60
Voted
NA
2006
14 years 9 months ago
2006
Truncated singular value decomposition is a popular solution method for linear discrete ill-posed problems. However, since the singular value decomposition of the matrix is indepen...
92
Voted
ENTCS
2006
14 years 9 months ago
2006
This paper extends the domain theoretic method for solving initial value problems, described in [8], to unbounded vector fields. Based on a sequence of approximations of the vecto...
AAMAS
2007
Springer
14 years 9 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
VALUETOOLS
2006
ACM
15 years 3 months ago
2006
ACM
We present a new approximation method called value extrapolation for Markov processes with large or infinite state spaces. The method can be applied for calculating any performan...