16 search results - page 3 / 4 » Integrating Sample-Based Planning and Model-Based Reinforcem... |
JIRS
2000
13 years 5 months ago
2000
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
AAAI
2010
13 years 6 months ago
2010
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...
ISDA
2010
IEEE
13 years 3 months ago
2010
IEEE
Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industr...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
UAI
2008
13 years 6 months ago
2008
A graphical multiagent model (GMM) represents a joint distribution over the behavior of a set of agents. One source of knowledge aboutagents'behaviormaycomefromgametheoretic ...