Knowledge-based multiagent credit assignment: A study on task type and critic information
Multiagent credit assignment (MCA) is one of the major problems in the realization of
multiagent reinforcement learning. Since the environment usually is not intelligent enough to …
multiagent reinforcement learning. Since the environment usually is not intelligent enough to …
Experimental analysis of knowledge based multiagent credit assignment
Abstract Multiagent Credit Assignment is one the major problems in realization of multi-
agent reinforcement learning. Since the environment usually is not intelligent enough to …
agent reinforcement learning. Since the environment usually is not intelligent enough to …
A new approach to credit assignment in a team of cooperative Q-learning agents
Q-learning is widely used in many multi agent systems. In most cases, a separate critic is
considered for qualifying each individual agent behavior or it is assumed that the critic is …
considered for qualifying each individual agent behavior or it is assumed that the critic is …
[BOOK][B] Multiagent credit assignment in a team of cooperative q-learning agents with a parallel task
A Harati, MRN Ahmadabadi - 2002 - Citeseer
Traditionally in many multiagent reinforcement learning researches, qualifying each
individual agent's behavior is responsibility of environment's critic. However, in most …
individual agent's behavior is responsibility of environment's critic. However, in most …
Certainty and expertness-based credit assignment for cooperative Q-Learning agents with an AND-type task
In multiagent reinforcement learning, inter-agent credit assignment is a fundamental
problem, since a single scalar reinforcement signal is the only reliable feedback that teams …
problem, since a single scalar reinforcement signal is the only reliable feedback that teams …
[PDF][PDF] Certainty and Expertness–Based Credit Assignment for Cooperative Q-learning Agents with an and–Type Task
R Zaliamin, ME Shiri - Australian Journal of Basic and Applied …, 2010 - academia.edu
In mulitagent reinforcement learning, inter agent credit assignment is a fundamental
problem, since a single scalar reinforcement signal is the only reliable feedback that teams …
problem, since a single scalar reinforcement signal is the only reliable feedback that teams …
Learning distributed grasp in presence of redundant agents
AH Elahibakhsh, MN Ahmadabadi… - … , 2005 IEEE/ASME …, 2005 - ieeexplore.ieee.org
Learning distributed object grasp by a group of robots with redundant members is the main
focus of this paper. In Elahibakhsh, AH, et al.(2004), we tackled the problem of learning form …
focus of this paper. In Elahibakhsh, AH, et al.(2004), we tackled the problem of learning form …