286 search results - page 13 / 58 » Using inaccurate models in reinforcement learning |
ACMACE
2007
ACM
13 years 11 months ago
2007
ACM
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
ICRA
2007
IEEE
14 years 2 months ago
2007
IEEE
— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promis...
ICMLA
2010
13 years 5 months ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Reinforcement learning (RL) algorithms attempt to assign the credit for rewards to the actions that contributed to the reward. Thus far, credit assignment has been done in one of t...
ICAC
2006
IEEE
14 years 1 months ago
2006
IEEE
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...