OOCL-DDQN: Online Evaluation and Offline Training-Based Clipped Double DQN for Automated Anesthesia Control

Engineering

• Reinforcement Learning 100%
• Offline Training 100%
• State-of-the-Art Method 50%
• Adaptability 50%
• Data Preprocessing 50%
• Environment Model 50%
• Model-Based Control 50%
• Markov Property 50%
• Learning System 50%

Chemical Engineering

• Reinforcement Learning 100%
• Learning System 50%

Computer Science

• Environment Model 50%