An evaluative analysis of particle swarm optimization for reinforcement learning in pendulum task
Applying swarm intelligence algorithms to reinforcement learning of neural networks is practical because they do not rely on gradients.Particle swarm optimization (PSO) is a representatives of swarm algorithms.In this paper, the author experimentally evaluates the effectiveness of PSO in the reinforcement learning of multilayer perceptrons (MLPs),