The results show that the proposed algorithm can accelerate the convergence speed of DDPG, improve the generalization ability of the path planning model and ...
May 8, 2022 · The results show that the proposed algorithm can accelerate the convergence speed of DDPG, improve the generalization ability of the path ...
Jul 30, 2024 · The results show that the proposed algorithm can accelerate the convergence speed of DDPG, improve the generalization ability of the path ...
... Policy Gradient (DDPG) algorithm is used in mobile robot path planning ... Efficient Path Planning for Mobile Robot Based on Deep Deterministic Policy Gradient.
Sep 5, 2024 · This research proposes a method combining the DDPG strategy for exploitation with the Differential Gaming (DG) strategy for exploration.
The adaptive exploration method can improve the exploration efficiency, reduce the exploration duration and speed up the convergence of the algorithm.
Deep Deterministic Policy Gradient (DDPG) is a deep reinforcement learning algorithm that is widely used in the path planning of mobile robots.
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Abstract Deep Deterministic Policy Gradient (DDPG) is a deep reinforcement learning algorithm that is widely used in the path planning of mobile robots.
Dec 6, 2022 · Abstract: Deep Deterministic Policy Gradient (DDPG) is a deep reinforcement learning algorithm that is widely used in the path planning of ...
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 ...