16 search results - page 2 / 4 » Integrating Sample-Based Planning and Model-Based Reinforcem... |
ICMLA
2009
13 years 2 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
AAAI
2010
13 years 6 months ago
2010
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...