2011 search results - page 12 / 403 » Universal Reinforcement Learning |
157
click to vote
ICML
1998
IEEE
16 years 6 months ago
1998
IEEE
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
176
click to vote
CIG
2005
IEEE
15 years 7 months ago
2005
IEEE
Abstract- Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theor...
154
click to vote
AAAI
2010
15 years 7 months ago
2010
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
207
click to vote
IJCAI
2007
15 years 7 months ago
2007
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
189
click to vote
ACSE
2000
ACM
15 years 10 months ago
2000
ACM
The University of Queensland has recently established a new design-focused, studio-based IT degree at a new “flexible-learning” campus. The Bachelor of Information Environment...