352 search results - page 13 / 71 » Efficient learning algorithms for changing environments |
131
Voted
MCS
2009
Springer
15 years 8 months ago
2009
Springer
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...
120
Voted
CIRA
2007
IEEE
15 years 10 months ago
2007
IEEE
– 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...
120
Voted
IROS
2006
IEEE
15 years 9 months ago
2006
IEEE
— 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...
171
Voted
ECML
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
118
Voted
OSDI
2008
ACM
16 years 3 months ago
2008
ACM
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...