NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control

Nan Lin, Yuxuan Li, Yujun Zhu +6

Traditionally, reinforcement learning methods predict the next action based on the current state. However, in many situations, directly applying actions to control systems or robot…