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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 3 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
CIDU
2010
13 years 7 months ago
Tracking Climate Models
Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
Claire Monteleoni, Gavin Schmidt, Shailesh Saroha
PRL
2006
119views more  PRL 2006»
13 years 9 months ago
Exploring the use of latent topical information for statistical Chinese spoken document retrieval
Information retrieval which aims to provide people with easy access to all kinds of information is now becoming more and more emphasized. However, most approaches to information r...
Berlin Chen
IROS
2009
IEEE
223views Robotics» more  IROS 2009»
14 years 3 months ago
On the consistency of EKF-SLAM: Focusing on the observation models
— In this paper a new strategy for handling the observation information of a bearing-range sensor throughout the filtering process of EKF-SLAM is proposed. This new strategy is ...
Amir Hossein Tamjidi, Hamid D. Taghirad, Ali Akbar...
FORTE
2004
13 years 10 months ago
PEPA Nets in Practice: Modelling a Decentralised Peer-to-Peer Emergency Medical Application
Abstract. We apply the PEPA nets modelling language to modelling a peer-topeer medical informatics application, the FieldCare PDA-based medical records system developed by SINTEF T...
Stephen Gilmore, Valentin Haenel, Jane Hillston, L...