813 search results - page 9 / 163 » Ensemble Algorithms in Reinforcement Learning |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Properties of ensemble classification can be studied using the framework of Monte Carlo stochastic algorithms. Within this framework it is also possible to define a new ensemble c...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
NIPS
2003
13 years 8 months ago
2003
Significant plasticity in sensory cortical representations can be driven in mature animals either by behavioural tasks that pair sensory stimuli with reinforcement, or by electro...
IDA
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...