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ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
15 years 1 months ago
Parameterized maneuver learning for autonomous helicopter flight
Abstract— Many robotic control tasks involve complex dynamics that are hard to model. Hand-specifying trajectories that satisfy a system’s dynamics can be very time-consuming a...
Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Ab...
CDC
2009
IEEE
119views Control Systems» more  CDC 2009»
15 years 7 months ago
Linear Parameter Varying Iterative Learning Control
— In this paper an Iterative Learning Control (ILC) algorithm is proposed for a certain class of Linear Parameter Varying (LPV) systems whose dynamics change between iterations. ...
Mark Edward John Butcher, Alireza Karimi
112
Voted
NIPS
2003
15 years 3 months ago
Policy Search by Dynamic Programming
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...
J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff...
ESWS
2005
Springer
15 years 8 months ago
Semantic-Based Automated Composition of Distributed Learning Objects for Personalized E-Learning
Recent advances in e-learning techonologies and web services make realistic the idea that courseware for personalized e-learning can be built by dynamic composition of distributed ...
Simona Colucci, Tommaso Di Noia, Eugenio Di Sciasc...
NIPS
2004
15 years 3 months ago
Convergence and No-Regret in Multiagent Learning
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Michael H. Bowling