Stereoscopic projection policy optimization method based on deep reinforcement learning

HIGHLIGHTS

• who: Jing An and colleagues from the College of Joint Operations, The PLA National Defense University, Beijing, China have published the research: Stereoscopic Projection Policy Optimization Method Based on Deep Reinforcement Learning, in the Journal: Electronics 2022, 3951 of /2022/
• what: Based on the good performance of deep reinforcement learning (DRL) in policy optimization a stereoscopic projection policy optimization method is proposed which combines the simulation experiment method with the DRL method. Funding: This research externalperforms funding. well in a specific scenario simulation Although the received obtainednomodel model, it is not necessarily applicable to the . . .
  

   

  

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