133 search results - page 9 / 27 » Hierarchical Policy Gradient Algorithms |
ICML
2002
IEEE
14 years 10 months ago
2002
IEEE
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
RTCSA
2005
IEEE
14 years 3 months ago
2005
IEEE
We present an approach to the analysis and optimization of heterogeneous distributed embedded systems for hard real-time applications. The systems are heterogeneous not only in te...
CEC
2011
IEEE
12 years 9 months ago
2011
IEEE
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
ICIP
2000
IEEE
14 years 11 months ago
2000
IEEE
In this paper, a hierarchical genetic algorithm for disparity estimation is presented. The goal, to estimate reliable disparity fields with low computational cost, is reached usin...
ESANN
2007
13 years 11 months ago
2007
In this paper, we investigate motor primitive learning with the Natural Actor-Critic approach. The Natural Actor-Critic consists out of actor updates which are achieved using natur...