MICRO-COURSE

Reinforcement Learning & Decision Optimization

Reinforcement Learning & Decision Optimization: 13 short lessons, one for each concept. States, actions, rewards, policies, value functions, Markov decision processes, exploration versus exploitation, Q-learning, policy gradients, actor–critic methods, contextual bandits, imitation learning, and of

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02 / UNDERSTAND

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States, actions, rewards, policies, value functions, Markov decision processes, exploration versus exploitation, Q-learning, policy gradients, actor–critic methods, contextual bandits, imitation learning, and offline reinforcement learning.

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13 results1–12

Lesson

States

A short lesson on states from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Actions

A short lesson on actions from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Rewards

A short lesson on rewards from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Policies

A short lesson on policies from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Value functions

A short lesson on value functions from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Markov decision processes

A short lesson on Markov decision processes from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Exploration versus exploitation

A short lesson on exploration versus exploitation from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Q-learning

A short lesson on Q-learning from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Policy gradients

A short lesson on policy gradients from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Actor–critic methods

A short lesson on actor–critic methods from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Contextual bandits

A short lesson on contextual bandits from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Lesson

Imitation learning

A short lesson on imitation learning from the Reinforcement Learning & Decision Optimization micro course: what it is, where it shows up in real systems, and a practical example you can apply.

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Reinforcement Learning & Decision Optimization

Recorded video

Start with the topic guide.

Concept scope

Prepare a focused example

Check your understanding

Need a walkthrough?Stay with this topic.

Request a live session for this topic.

Explore 13 focused topics.

States

Actions

Rewards

Policies

Value functions

Markov decision processes

Exploration versus exploitation

Q-learning

Policy gradients

Actor–critic methods

Contextual bandits

Imitation learning

Need a walkthrough?
Stay with this topic.