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Deep Reinforcement Learning: From Q-Learning to Deep Q-Learning
2017As the two hottest branches of machine learning, deep learning and reinforcement learning both play a vital role in the field of artificial intelligence. Combining deep learning with reinforcement learning, deep reinforcement learning is a method of artificial intelligence that is much closer to human learning.
Pengfei Yan, Fuxiao Tan, Xinping Guan
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2019
In this chapter, we would put what we have learnt on Q-Learning in the last chapter in code. We would implement a Q-Table-based Off-Policy Q-Learning agent class, and to complement with a behavior policy, we would implement another class on Behavior Policy with an implementation of the epsilon-greedy algorithm.
openaire +2 more sources
In this chapter, we would put what we have learnt on Q-Learning in the last chapter in code. We would implement a Q-Table-based Off-Policy Q-Learning agent class, and to complement with a behavior policy, we would implement another class on Behavior Policy with an implementation of the epsilon-greedy algorithm.
openaire +2 more sources