170 search results - page 4 / 34 » Heuristic Selection of Actions in Multiagent Reinforcement L... |
AROBOTS
1999
13 years 5 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
ECAI
2006
Springer
13 years 9 months ago
2006
Springer
Emotions play a very important role in human behaviour and social interaction. In this paper we present a control architecture which uses emotions in the behaviour selection proces...
ROBOCUP
2007
Springer
13 years 12 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
PPSN
2004
Springer
13 years 11 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
SBIA
2004
Springer
13 years 11 months ago
2004
Springer
This work presents a new algorithm, called Heuristically Accelerated Q–Learning (HAQL), that allows the use of heuristics to speed up the well-known Reinforcement Learning algori...