Abstract: This paper proposes local path planning with turn-abouts for a mobile robot by deep deterministic policy gradient (DDPG).
Abstract—This paper proposes local path planning with turn- abouts for a mobile robot by deep deterministic policy gradient. (DDPG).
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The results show that the proposed algorithm can accelerate the convergence speed of DDPG, improve the generalization ability of the path planning model.
Missing: Turnabouts | Show results with:Turnabouts
Mar 28, 2023 · This study proposes an improved deep deterministic policy gradient (DDPG) path planning algorithm incorporating sequential linear path planning ...
Missing: Turnabouts | Show results with:Turnabouts
Dec 9, 2024 · This paper proposes a narrow-route path planning for a mobile robot using deep deterministic policy gradient (DDPG) considering a drive system.
Planning an obstacle-free optimal path presents great challenges for mobile robot applications, the deep deterministic policy gradient (DDPG) algorithm offers ...
Missing: Turnabouts | Show results with:Turnabouts
Dec 7, 2022 · In this paper, we propose a deep deterministic policy gradient (DDPG)-based path-planning method for mobile robots by applying the hindsight experience replay ...
Missing: Turnabouts | Show results with:Turnabouts
Jun 15, 2024 · This paper proposes an improved TD3 (Twin Delayed Deep Deterministic Policy Gradient) algorithm to address the flaws of low success rate and slow training ...
Missing: Turnabouts | Show results with:Turnabouts
Nov 18, 2024 · This paper uses deep deterministic policy gradient (DDPG) [36] for path planning. DDPG is a well-known deep reinforcement learning algorithm and ...
Yinliang Chen et al. [12] proposed an improved deep deterministic policy gradient (DDPG) path planning algorithm incorporating sequential linear path planning ( ...