80 citations · 109 across the 15 of their papers we have counts for
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3 papers · 1 filter
eess.SY2020★ 1 cited
Trajectory planning for multiple autonomous underwater vehicles with safety guarantees
Shuhao Zhang, Yujia Yang, Seth Siriya +1
This paper addresses the trajectory planning for multiple autonomous underwater vehicles (AUVs) in strong waves that can disturb the AUVs' trajectory tracking ability and cause obs…
eess.SY2020★ 1 cited
Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates
Yujia Yang, Ye Wang, Chris Manzie +1
Controlling a fleet of autonomous underwater vehicles can be challenging due to low bandwidth communication between agents. This paper proposes to address this challenge by optimiz…
cs.LG2020
Optimal Control-Based Baseline for Guided Exploration in Policy Gradient Methods
Xubo Lyu, Site Li, Seth Siriya +2
In this paper, a novel optimal control-based baseline function is presented for the policy gradient method in deep reinforcement learning (RL). The baseline is obtained by computin…