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» Iterative Learning Control - Monotonicity and Optimization
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IROS
2007
IEEE
144views Robotics» more  IROS 2007»
15 years 4 months ago
Bipedal walking on rough terrain using manifold control
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...
Tom Erez, William D. Smart
ICONIP
2009
14 years 7 months ago
Tracking in Reinforcement Learning
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
SIAMSC
2010
198views more  SIAMSC 2010»
14 years 8 months ago
Analysis of Block Parareal Preconditioners for Parabolic Optimal Control Problems
In this paper, we describe block matrix algorithms for the iterative solution of large scale linear-quadratic optimal control problems arising from the optimal control of parabolic...
Tarek P. Mathew, Marcus Sarkis, Christian E. Schae...
ATAL
2009
Springer
15 years 4 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
14 years 7 months ago
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
In the future, robotic surgical assistants may assist surgeons by performing specific subtasks such as retraction and suturing to reduce surgeon tedium and reduce the duration of s...
Jur van den Berg, Stephen Miller, Daniel Duckworth...