Reinforcement Learning with Adaptive Control Rates for Efficient Task Completion

A novel reinforcement learning algorithm, Soft Elastic Actor-Critic (SEAC), that dynamically adjusts the control rate to minimize computational resources and task completion time without compromising performance.