473 search results - page 40 / 95 » Programmable Reinforcement Learning Agents |
ICRA
2010
IEEE
13 years 7 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...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
ROBOCUP
2004
Springer
14 years 2 months ago
2004
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
AAMAS
2005
Springer
14 years 2 months ago
2005
Springer
We report on an investigation of the learning of coordination in cooperative multi-agent systems. Specifically, we study solutions that are applicable to independent agents i.e. ...
AAAI
2000
13 years 10 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...