1233 search results - page 135 / 247 » Feudal Reinforcement Learning |
PKDD
2000
Springer
13 years 11 months ago
2000
Springer
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
ICMLA
2007
13 years 9 months ago
2007
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
AIPS
2006
13 years 9 months ago
2006
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
AIMSA
2004
Springer
13 years 12 months ago
2004
Springer
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...