most citedDepth Control of Model-Free AUVs via Reinforcement Learning

12 citations · 13 across the 2 of their papers we have counts for

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cs.LG2019

Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles

Wenjie Shi, Shiji Song, Cheng Wu +1

This paper investigates trajectory tracking problem for a class of underactuated autonomous underwater vehicles (AUVs) with unknown dynamics and constrained inputs. Different from…

cs.LG2019

Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning

Wenjie Shi, Shiji Song, Cheng Wu

Maximum entropy deep reinforcement learning (RL) methods have been demonstrated on a range of challenging continuous tasks. However, existing methods either suffer from severe inst…