536 search results - page 63 / 108 » Residual Algorithms: Reinforcement Learning with Function Ap... |
147
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
113
Voted
EWRL
2008
15 years 4 months ago
2008
Abstract. We consider a control problem where the decision maker interacts with a standard Markov decision process with the exception that the reward functions vary arbitrarily ove...
73
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
156
Voted
JMLR
2010
14 years 9 months ago
2010
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
118
Voted
ML
2002
ACM
15 years 2 months ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...