2011 search results - page 40 / 403 » Universal Reinforcement Learning |
160
click to vote
ECML
2006
Springer
15 years 9 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
132
Voted
PRIMA
2009
Springer
16 years 1 days ago
2009
Springer
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
168
click to vote
AAAI
2006
15 years 7 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
258
click to vote
ATAL
2006
Springer
15 years 9 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
116
click to vote
DAGSTUHL
2007
15 years 7 months ago
2007
This abstract summarizes a brief, preliminary formalization of learning in parallel universes. It also attempts to highlight a few neighboring learning paradigms to illustrate how ...