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End-to-end deep reinforcement learning for multi-agent collaborative exploration

Country : Singapore
Department : Singapore Management University
Project Title : End-to-end deep reinforcement learning for multi-agent collaborative exploration
Researcher : CHEN, Zichen , SUBAGDJA, Budhitama , TAN, Ah-hwee
Keyword : Deep learning , Multi-agent exploration , Reinforcement Learning , Artificial Intelligence and Robotics , Databases and Information Systems
Publisher : Institutional Knowledge at Singapore Management University
Year End : 2019
Identifier : https://ink.library.smu.edu.sg/sis_research/6170 , https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7173&context=sis_research
Source : Research Collection School Of Computing and Information Systems
Abstract / Description :

Exploring an unknown environment by multiple autonomous robots is a major challenge in robotics domains. As multiple robots are assigned to explore different locations, they may interfere each other making the overall tasks less efficient. In this paper, we present a new model called CNN-based Multi-agent Proximal Policy Optimization (CMAPPO) to multi-agent exploration wherein the agents learn the effective strategy to allocate and explore the environment using a new deep reinforcement learning architecture. The model combines convolutional neural network to process multi-channel visual inputs, curriculum-based learning, and PPO algorithm for motivation based reinforcement learning. Evaluations show that the proposed method can learn more efficient strategy for multiple agents to explore the environment than the conventional frontier-based method.

References

CHEN, Zichen,SUBAGDJA, Budhitama and TAN, Ah-hwee. (2019). End-to-end deep reinforcement learning for multi-agent collaborative exploration.  Singapore: Singapore Management University.
CHEN, Zichen,SUBAGDJA, Budhitama and TAN, Ah-hwee. 2019. "End-to-end deep reinforcement learning for multi-agent collaborative exploration".  Singapore: Singapore Management University.
CHEN, Zichen,SUBAGDJA, Budhitama and TAN, Ah-hwee. "End-to-end deep reinforcement learning for multi-agent collaborative exploration."  Singapore: Singapore Management University, 2019. Print.
CHEN, Zichen,SUBAGDJA, Budhitama and TAN, Ah-hwee. End-to-end deep reinforcement learning for multi-agent collaborative exploration. Singapore: Singapore Management University; 2019.

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