170 search results - page 22 / 34 » Learning to play Tetris applying reinforcement learning meth... |
FBIT
2007
IEEE
15 years 4 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
61
Voted
ICRA
2003
IEEE
15 years 2 months ago
2003
IEEE
− A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two ...
AAAI
2004
14 years 11 months ago
2004
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
78
Voted
AAMAS
2010
Springer
14 years 9 months ago
2010
Springer
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...