155 search results - page 13 / 31 » Multi-agent Reinforcement Learning Using Strategies and Voti... |
IAT
2010
IEEE
14 years 7 months ago
2010
IEEE
Agent technology is a good approach for solving a number of problems concerned with personalized learning. In personal learning contexts individual students are given an environme...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
ILP
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Reasoning plays a central role in intelligent systems that operate in complex situations that involve time constraints. In this paper, we present the Adaptive Logic Inter...
AAAI
2008
14 years 11 months ago
2008
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...