160 search results - page 25 / 32 » Optimization on a Budget: A Reinforcement Learning Approach |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
ICMLA
2010
13 years 5 months ago
2010
Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
AAAI
2008
13 years 10 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
ATAL
2004
Springer
14 years 29 days ago
2004
Springer
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...