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Keywords: Machine Learning, Reinforcement Learning ...9 Reinforcement Learning Can Be Naturally Integrated With Artificial Neural Networks To Obtain High-quality Generalization, Resulting In A Significant Learning Speedup. Neural Networks Are Used In This Dissertation, And They Generalize Effectively Even In The Presence Of Noise And A Large Number Of Binary And Real-valued Inputs. 8th, 2024Deep Learning Vs. Discrete Reinforcement Learning For ...Adaptive Traffic Signal Controllers (ATSCs) Have Be En Shown To Outperform Fixed -time And Actuated Controllers, As Most Of Them Explicitly Attempt To Minimize Delays [10] ±[20] . RL Is A Recent Advance In ATSCs; It Is Model -free And Self -learning. Although Able To Learn Directly From 16th, 2024Deep Learning And Reward Design For Reinforcement LearningLee Is An Amazing Person To Work With. He Is Hands-on And Knowledgeable About The Practice Of Machine Learning, Especially Deep Learning. Professor Qiaozhu Mei Introduces Me To A Broader Scope Of Machine Learning Applications, And He Is Always Willing To Give Inval 15th, 2024.
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