343 search results - page 65 / 69 » Action discovery for reinforcement learning |
AAAI
2010
13 years 9 months ago
2010
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...
SOFSEM
2007
Springer
14 years 1 months ago
2007
Springer
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
AGENTS
2000
Springer
14 years 5 hour ago
2000
Springer
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
ARCS
2005
Springer
14 years 1 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
IAT
2010
IEEE
13 years 5 months ago
2010
IEEE
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...