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» Efficient learning algorithms for changing environments
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MCS
2009
Springer
15 years 4 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
CIRA
2007
IEEE
148views Robotics» more  CIRA 2007»
15 years 6 months ago
Reinforcement Learning with a Supervisor for a Mobile Robot in a Real-world Environment
– This paper describes two experiments with supervised reinforcement learning (RL) on a real, mobile robot. Two types of experiments were preformed. One tests the robot’s relia...
Karla Conn, Richard Alan Peters II
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
15 years 5 months ago
Panoramic View-Based Navigation in Outdoor Environments Based on Support Vector Learning
— This paper describes a panoramic view-based navigation in outdoor environments. We have been developing a two-phase navigation method. In the training phase, the robot acquires...
Hideo Morita, Michael Hild, Jun Miura, Yoshiaki Sh...
ECML
2007
Springer
15 years 3 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
OSDI
2008
ACM
16 years 4 hour ago
An Internet Protocol Address Clustering Algorithm
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
Robert Beverly, Karen R. Sollins