3274 search results - page 59 / 655 » Using Learning in a Control Agent |
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
NIPS
2003
13 years 9 months ago
2003
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efï¬...
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
We present the agent programming language GTGolog, which integrates explicit agent programming in Golog with gametheoretic multi-agent planning in Markov games. It is a generalizat...
AAMAS
2007
Springer
13 years 8 months ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
IADIS
2008
13 years 9 months ago
2008
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...