377 search results - page 14 / 76 » Optimizing Production Manufacturing Using Reinforcement Lear... |
AAMAS
2005
Springer
14 years 27 days ago
2005
Springer
We report on an investigation of the learning of coordination in cooperative multi-agent systems. Specifically, we study solutions that are applicable to independent agents i.e. ...
AAAI
2010
13 years 8 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
AAMAS
2007
Springer
13 years 7 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
: Manufacturing is using Virtual Reality tools to enhance the product life cycle. Their definitions are still in flux and it is necessary to define their connections. Thus, firstly...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...