3250 search results - page 240 / 650 » Parameterized Learning Complexity |
164
click to vote
ATAL
2010
Springer
15 years 7 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
153
Voted
ICRA
2007
IEEE
16 years 21 days ago
2007
IEEE
Abstract— The problem of an effective coordination of multiple autonomous robots is one of the most important tasks of the modern robotics. In turn, it is well known that the lea...
147
Voted
AAAI
2004
15 years 7 months ago
2004
Computer systems are rapidly becoming so complex that maintaining them with human support staffs will be prohibitively expensive and inefficient. In response, visionaries have beg...
166
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
162
click to vote
ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...