“School of Cognitive Sciences”
Back to Papers HomeBack to Papers of School of Cognitive Sciences
| Paper IPM / Cognitive Sciences / 7573 |
|
||||
| Abstract: | |||||
|
In multi agent reinforcement learning, inter agent credit assignment is a fundamental problem, since a single scalar reinforcement signal it is only reliable feedback that teams of learning agents receive. This problem is more critical in groups of independent learners with a joint task.
In this research, it is assumed that a critic agent receives the environment feedback and assigns a proper credit to each agent using some measures. Three of such measures for a team of cooperative agents with a parallel and AND-type task are introduced. These measures somehow compare the agents' knowledge.
One of these criteria, called Normal Expertness, is a non-relative measure while two other ones (Certainly and Relative Normal Expertness) are relative measures work better as they contain more information for the critic agent.
Download TeX format |
|||||
| back to top | |||||
