335 search results - page 27 / 67 » Learning Simulation Control in General Game-Playing Agents |
126
click to vote
PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
123
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
143
Voted
CA
2003
IEEE
15 years 8 months ago
2003
IEEE
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
171
click to vote
KBSE
2002
IEEE
15 years 8 months ago
2002
IEEE
Engineering individual components of a multi-agent system and their interactions is a complex and error-prone task in urgent need of methods and tools. Prototyping is a valuable t...
162
click to vote
ROBOCUP
1999
Springer
15 years 7 months ago
1999
Springer
In RoboCup-98, sparrows team worked hard just to get both a simulation and a middle size robot team to work and to successfully participate in a major tournament. For this year, we...