86 search results - page 7 / 18 » Evolution of reward functions for reinforcement learning |
110
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CEC
2008
IEEE
15 years 1 months ago
2008
IEEE
Abstract-- In this paper we investigate the effects of individual learning on an evolving population of situated agents. We work with a novel type of system where agents can decide...
ICML
2003
IEEE
16 years 14 days ago
2003
IEEE
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
ICRA
2009
IEEE
15 years 6 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
ICML
1999
IEEE
16 years 14 days ago
1999
IEEE
Consider the task of exploring the Web in order to find pages of a particular kind or on a particular topic. This task arises in the construction of search engines and Web knowled...
119
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ESANN
2008
15 years 1 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...