453 search results - page 7 / 91 » Learning from actions not taken: a multiagent learning algor... |
CORR
2011
Springer
12 years 11 months ago
2011
Springer
In this work, we consider a retailer selling a single product with limited on-hand inventory over a finite selling season. Customer demand arrives according to a Poisson process,...
AAAI
1998
13 years 8 months ago
1998
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
ECAI
2000
Springer
13 years 11 months ago
2000
Springer
There are two major approaches to activity coordination in multiagent systems. First, by endowing the agents with the capability to jointly plan, that is, to jointly generate hypot...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— In their interactions with the world robots inevitably face equivalent action choices, situations in which multiple actions are equivalently applicable. In this paper, ...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...