Sciweavers

3084 search results - page 17 / 617
» Learning to Take Actions
Sort
View
WWW
2008
ACM
16 years 2 months ago
Dynamic cost-per-action mechanisms and applications to online advertising
We study the Cost-Per-Action or Cost-Per-Acquisition (CPA) charging scheme in online advertising. In this scheme, instead of paying per click, the advertisers pay only when a user...
Hamid Nazerzadeh, Amin Saberi, Rakesh Vohra
91
Voted
AIIDE
2007
15 years 4 months ago
Personality-based Adaptation for Teamwork in Game Agents
This paper presents a novel learning framework to provide computer game agents the ability to adapt to the player as well as other game agents. Our technique generally involves a ...
Chek Tien Tan, Ho-Lun Cheng
113
Voted
TSMC
2002
102views more  TSMC 2002»
15 years 1 months ago
Generalized pursuit learning schemes: new families of continuous and discretized learning automata
The fastest learning automata (LA) algorithms currently available fall in the family of estimator algorithms introduced by Thathachar and Sastry [24]. The pioneering work of these ...
M. Agache, B. John Oommen
93
Voted
ECML
2003
Springer
15 years 7 months ago
A New Way to Introduce Knowledge into Reinforcement Learning
We present in this paper a method to introduce a priori knowledge into reinforcement learning using temporally extended actions. The aim of our work is to reduce the learning time ...
Pascal Garcia
139
Voted
INLG
2010
Springer
14 years 11 months ago
Hierarchical Reinforcement Learning for Adaptive Text Generation
We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
Nina Dethlefs, Heriberto Cuayáhuitl