Tiantian Wang

Beetle Swarm Optimization Algorithm:Theory and Application

2018 · arXiv (Cornell University)

In this paper, a new meta-heuristic algorithm, called beetle swarm optimization algorithm, is proposed by enhancing the performance of swarm optimization through beetle foraging principles. The performance of 23 benchmark functions is tested and compared …

Toward Obstacle Avoidance for Mobile Robots Using Deep Reinforcement Learning Algorithm

2021

The state-of-the-art deep reinforcement learning algorithm, i.e., the deep deterministic policy gradient (DDPG), has achieved good performance in continuous control problems for the robotics. However, the conventional experience replay mechanism of the DDPG algorithm stores …