Data-Efficient Off-Policy Learning for Distributed Optimal Tracking Control of HMAS With Unidentified Exosystem Dynamics.
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DOI: 10.1109/tnnls.2022.3172130
Abstract: In this article, a data-efficient off-policy reinforcement learning (RL) approach is proposed for distributed output tracking control of heterogeneous multiagent systems (HMASs) using approximate dynamic programming (ADP). Different from existing results that the kinematic model… read more here.
Keywords: efficient policy; exosystem; output; data efficient ... See more keywords