95 search results - page 12 / 19 » Policy Gradients for Cryptanalysis |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
CEC
2011
IEEE
12 years 7 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...
ESANN
2007
13 years 9 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...
PCI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Increased power density, hot-spots, and temperature gradients are severe limiting factors for today’s state-of-the-art microprocessors. However, the flexibility offer...
AAAI
2010
13 years 8 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...