2022
Utilizing Hidden Observations to Enhance the Performance of the Trained Agent
RA-L 2022
The frame-skipping strategy has been widely employed in deep reinforcement learning (DRL) technology to train an agent. Specifically, this strategy repeats the action determined by the agent for a fixed number of frames. It increases computational efficiency by reducing the number of inferences by m