779 search results - page 78 / 156 » Reinforcement Using Supervised Learning for Policy Generaliz... |
119
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
82
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
132
Voted
COLT
2010
Springer
15 years 17 days ago
2010
Springer
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
133
Voted
IJCAI
2007
15 years 4 months ago
2007
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
115
Voted
EPIA
2003
Springer
15 years 7 months ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...