2566 search results - page 43 / 514 » Relating reinforcement learning performance to classificatio... |
134
Voted
SDM
2010
SIAM
15 years 5 months ago
2010
SIAM
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
144
Voted
ECML
2004
Springer
15 years 9 months ago
2004
Springer
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
112
Voted
ATAL
2006
Springer
15 years 7 months ago
2006
Springer
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
143
Voted
CAEPIA
2011
Springer
14 years 3 months ago
2011
Springer
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
147
Voted
EWRL
2008
15 years 5 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...