We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state space, actions are grouped into sets of related behaviors called roles and represented as behavioral assemblages. A role is a Finite State Automata such as Forager, where the behaviors and their sequencing for finding objects, collecting them, and returning them are already encoded and do not have to be relearned. Each robot starts out with the same set of possible roles to play, te same perceptual hardware for coordination, and no contact other than perception regarding other members of the team. Over the course of training, a team of Q-learning robots will converge...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...
We present an approach that uses Q-learning on individual robotic agents, for coordinating a missio...
Q-learning has often been used to learn primitive behaviors, or to coordinate a limited set of motor...
One of the important issues in intelligent systems and robotics is to develop an efficient method to...
One of the important issues in intelligent systems and robotics is to develop an efficient method to...
Abstract—Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains ...
This paper describes research investigating behavioral specialization in learning robot teams. Each ...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
Despite the advancement of research and development on multi-robot teams, a key challenge still rema...
Despite the advancement of research and development on multi-robot teams, a key challenge still rema...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
This paper describes research investigating behavioral specialization in learning robot teams. Each...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...
We present an approach that uses Q-learning on individual robotic agents, for coordinating a missio...
Q-learning has often been used to learn primitive behaviors, or to coordinate a limited set of motor...
One of the important issues in intelligent systems and robotics is to develop an efficient method to...
One of the important issues in intelligent systems and robotics is to develop an efficient method to...
Abstract—Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains ...
This paper describes research investigating behavioral specialization in learning robot teams. Each ...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
Despite the advancement of research and development on multi-robot teams, a key challenge still rema...
Despite the advancement of research and development on multi-robot teams, a key challenge still rema...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
We investigate the problem of how to make a multi-robot system performing a cooperative task by indu...
This paper describes research investigating behavioral specialization in learning robot teams. Each...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...
International audienceThe ever-increasing demands for autonomy and precision have led to the develop...