473 search results - page 20 / 95 » Programmable Reinforcement Learning Agents |
PRICAI
1999
Springer
14 years 25 days ago
1999
Springer
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
AAMAS
2005
Springer
13 years 8 months ago
2005
Springer
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
WEBI
2009
Springer
14 years 3 months ago
2009
Springer
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
IAT
2008
IEEE
13 years 8 months ago
2008
IEEE
While context-awareness has been found to be effective for decision support in complex domains, most of such decision support systems are hard-coded, incurring significant develop...