70 search results - page 5 / 14 » Reinforcement Learning: Past, Present and Future |
UAI
2001
13 years 8 months ago
2001
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
CCIA
2005
Springer
14 years 28 days ago
2005
Springer
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
We present a biologically inspired neural network model of visual orienting (using saccadic eye movements) in which targets are preferentially selected according to their reward va...
AAAI
2007
13 years 9 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...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...