44 search results - page 8 / 9 » Improving the performance of complex agent plans through rei... |
AIIDE
2007
13 years 10 months ago
2007
This paper presents a novel learning framework to provide computer game agents the ability to adapt to the player as well as other game agents. Our technique generally involves a ...
JMLR
2010
13 years 2 months ago
2010
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
AAAI
1994
13 years 9 months ago
1994
Two standard schemes for learning in classifier systems have been proposed in the literature: the bucket brigade algorithm (BBA) and the profit sharing plan (PSP). The BBA is a lo...