171 search results - page 15 / 35 » Principled Methods for Advising Reinforcement Learning Agent... |
131
Voted
ATAL
2005
Springer
15 years 6 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
107
Voted
ICRA
2010
IEEE
14 years 11 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
90
Voted
AAAI
2007
15 years 2 months ago
2007
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
94
Voted
ATAL
2005
Springer
15 years 6 months ago
2005
Springer
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
101
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...