87 search results - page 11 / 18 » Direct Policy Search Reinforcement Learning for Robot Contro... |
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...
ROBOCUP
2009
Springer
14 years 3 months ago
2009
Springer
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
ECML
2005
Springer
14 years 2 months 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...
IROS
2007
IEEE
14 years 3 months ago
2007
IEEE
— While underactuated robotic systems are capable of energy efficient and rapid dynamic behavior, we still do not fully understand how body dynamics can be actively used for ada...
ESANN
2008
13 years 10 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...