147 search results - page 5 / 30 » Policy Gradient in Continuous Time |
ICML
2001
IEEE
14 years 6 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
IOR
2010
13 years 4 months ago
2010
This paper analyzes a class of common-component allocation rules, termed no-holdback (NHB) rules, in continuous-review assemble-to-order (ATO) systems. We assume that component in...
ATAL
2006
Springer
13 years 9 months ago
2006
Springer
Assigning tasks to agents is complex, especially in highly dynamic environments. Typical protocol-based approaches for task assignment such as Contract Net have proven their value...
DAIS
2010
13 years 7 months ago
2010
This paper presents gradienTv, a distributed, market-based approach to live streaming. In gradienTv, multiple streaming trees are constructed using a market-based approach, such th...
JCAM
2011
12 years 8 months ago
2011
Collocation methods are a well developed approach for the numerical solution of smooth and weakly-singular Volterra integral equations. In this paper we extend these methods, thro...