Improving the speed of convergence of multi-agent Q-learning for cooperative task-planning by a robot-team

@article{Sadhu2017ImprovingTS,
  title={Improving the speed of convergence of multi-agent Q-learning for cooperative task-planning by a robot-team},
  author={Arup Kumar Sadhu and Amit Konar},
  journal={Robotics and Autonomous Systems},
  year={2017},
  volume={92},
  pages={66-80}
}
Learning-based planning algorithms are currently gaining popularity for their increasing applications in real-time planning and cooperation of robots. The paper aims at extending traditional multi-agent Q-learning algorithms to improve their speed of convergence by incorporating two interesting properties, concerning (i) exploration of the team-goal and (ii) selection of joint action at a given joint state. The exploration of team-goal is realized by allowing the agents, capable of reaching… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-2 of 2 extracted citations

Cooperative path planning of robot swarm based on ACO

2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) • 2017

References

Publications referenced by this paper.
Showing 1-10 of 63 references

Amachine-learning approach tomulti-robot coordination

Y.Wang, C. W. de Silva
Eng. Appl. Artif. Intell • 2008
View 9 Excerpts
Highly Influenced

Particle swarm optimization for unsupervised robotic learning

J. Pugh, Y. Zhang, A. Martinoli
in: Swarm Intelligence Symposium, SWIS-CONF-2005-004 • 2005
View 9 Excerpts
Highly Influenced

Non-cooperative games

J. Nash
Ann. Math. 54 (2) • 1951
View 5 Excerpts
Highly Influenced

Y

Z. Zhang, D. Zhao, J. Gao, D. Wang
Dai, FMRQ-A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks • 2016
View 9 Excerpts
Highly Influenced

Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer

IEEE Transactions on Cybernetics • 2015
View 8 Excerpts
Highly Influenced

Multiagent Reinforcement Learning With Unshared Value Functions

IEEE Transactions on Cybernetics • 2015
View 5 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…