1233 search results - page 25 / 247 » Reinforcement Learning in MirrorBot |
ICTAI
2007
IEEE
14 years 5 months ago
2007
IEEE
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
IJCAI
2007
14 years 10 days ago
2007
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
AIIDE
2006
14 years 10 days ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
AI
2002
Springer
13 years 10 months ago
2002
Springer
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
SAC
2005
ACM
14 years 4 months ago
2005
ACM
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...