45 search results - page 3 / 9 » Policy Learning - A Unified Perspective with Applications in... |
ICRA
2010
IEEE
13 years 5 months ago
2010
IEEE
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— In their interactions with the world robots inevitably face equivalent action choices, situations in which multiple actions are equivalently applicable. In this paper, ...
ECML
2005
Springer
14 years 17 days ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
IJRR
2008
13 years 7 months ago
2008
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...