Marlas: Multi agent reinforcement learning for cooperated adaptive sampling
The multi-robot adaptive sampling problem aims at finding trajectories for a team of robots to
efficiently sample the phenomenon of interest within a given endurance budget of the robots.
In this paper, we propose a robust and scalable approach using Multi-Agent Reinforcement
Learning for cooperated Adaptive Sampling (MARLAS) of quasi-static environmental
processes. Given a prior on the field being sampled, the proposed method learns
decentralized policies for a team of robots to sample high-utility regions within a fixed …
efficiently sample the phenomenon of interest within a given endurance budget of the robots.
In this paper, we propose a robust and scalable approach using Multi-Agent Reinforcement
Learning for cooperated Adaptive Sampling (MARLAS) of quasi-static environmental
processes. Given a prior on the field being sampled, the proposed method learns
decentralized policies for a team of robots to sample high-utility regions within a fixed …
[CITATION][C] MARLAS: Multi Agent Reinforcement Learning for cooperated Adaptive Sampling. arXiv 2022
L Pan, S Manjanna, VR Kumar, MA Hsieh - arXiv preprint arXiv:2207.07751
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