827 search results - page 67 / 166 » Variational methods for Reinforcement Learning |
102
Voted
ICML
1998
IEEE
16 years 1 months ago
1998
IEEE
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
108
Voted
CORR
2010
Springer
15 years 21 days ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
109
Voted
ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
127
Voted
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
130
Voted
ECML
2005
Springer
15 years 6 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...