Abstract: In emergency rescue scenarios, path planning for UGVs is a mission-critical task. However, many algorithms based on the Rapidly-exploring Random Trees (RRT) often exhibit instability and ...
Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback