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ECML
2004
Springer
14 years 26 days ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
ICC
2007
IEEE
161views Communications» more  ICC 2007»
14 years 1 months ago
Optimizing Multiplayer Gaming Protocols for Heterogeneous Network Environment
— The paper is concerned with a novel adaptive game server protocol optimization to combat network latencies in the case of heterogeneous network environment. In this way, game p...
Zsolt Kenesi, Gábor Kiss, János Leve...
CSDA
2007
126views more  CSDA 2007»
13 years 7 months ago
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
Yongqiang Tang, Subhashis Ghosal
ESE
1998
131views Database» more  ESE 1998»
13 years 7 months ago
A Comparison of Tool-Based and Paper-Based Software Inspection
Software inspection is an e ective method of defect detection. Recent research activity has considered the development of tool support to further increase the e ciency and e ectiv...
F. MacDonald, J. Miller
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
14 years 8 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal