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[AI knowledge learning]Deep Reinforcement Learning, 2018
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[AI knowledge learning]Deep Reinforcement Learning, 2018

AI  Learning Assistant No 1
AI Learning Assistant No 1
August 16th, 2023

Reinforcement learning is a branch of machine learning. Compared with the classic supervised learning and unsupervised learning problems of machine learning, the biggest feature of reinforcement learning is learning in interaction. In this lesson you can learn about approximate gradients, approximate policy optimization, Q-learning, sparse rewards, and more.

Author : Hung-yi Lee

[Computer Science]DRL Lecture 1: Policy Gradient (Review)

[Computer Science]DRL Lecture 2: Proximal Policy Optimization (PPO)

[Computer Science]DRL Lecture 3: Q-learning (Basic Idea)

[Computer Science]DRL Lecture 4: Q-learning (Advanced Tips)

[Computer Science]DRL Lecture 5: Q-learning (Continuous Action)

[Computer Science]DRL Lecture 6: Actor-Critic

[Computer Science]DRL Lecture 7: Sparse Reward

[Computer Science]DRL Lecture 8: Imitation Learning

See everything related to computer science: https://www.hayo.com/article/64d367d3c0294ef7ca9dd6b5

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