175 search results - page 22 / 35 » Learning humanoid reaching tasks in dynamic environments |
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...
SMC
2007
IEEE
15 years 3 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
IAT
2009
IEEE
15 years 1 months ago
2009
IEEE
We introduce a novel multi agent patrolling algorithm inspired by the behavior of gas filled balloons. Very low capability ant-like agents are considered with the task of patrolli...
ICRA
2002
IEEE
15 years 2 months ago
2002
IEEE
Learning can be an effective way for robot systems to deal with dynamic environments and changing task conditions. However, popular singlerobot learning algorithms based on discou...
CASCON
2008
14 years 11 months ago
2008
Netpal is a web-based dynamic knowledge base system designed to assist network administrators in their troubleshooting tasks, in recalling and storing experience, and in identifyi...