513 search results - page 28 / 103 » Metric learning for reinforcement learning agents |
162
Voted
AGENTS
2001
Springer
15 years 5 months ago
2001
Springer
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
84
Voted
AAAI
1997
15 years 1 months ago
1997
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
103
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
131
click to vote
AAAI
1996
15 years 1 months ago
1996
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
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...