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Student Seminar on Reinforcement Learning
Last Updated: 2026-02-05 15:47:28
Abstract
The aim of this seminar is to give an introduction to some of the mathematical ideas behind reinforcement learning. This includes stochastic optimisation and convergence analysis. The emphasis is on mathematical theory, not on developing and testing algorithms.
Objective
The aim of this seminar is to give an introduction to some of the mathematical ideas behind reinforcement learning. This includes stochastic optimisation and convergence analysis. The emphasis is on mathematical theory, not on developing and testing algorithms.
Content
The aim of this seminar is to give an introduction to some of the mathematical ideas behind reinforcement learning. This includes stochastic optimisation and convergence analysis. The emphasis is on mathematical theory, not on developing and testing algorithms.
Resources
Literature
See the seminar homepage at https://metaphor.ethz.ch/x/2021/hs/401-3910-71L
Learning Materials (Links)
- Main link
- Seminar on Reinforcement Learning
General Information
- Language
- English
- Levels
- MSC
Examination
- Type
- ungraded semester performance
Registration & Places
- Signup Start
- 02.08.2021
- Signup End
- 17.09.2021
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar | Student Seminar on Reinforcement Learning |
|
2 h weekly |
Offered In
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Seminars (NOTICE: The number of seminar places is limited, and the special selection procedure should help to allocate the places not primarily according to the registration time. Everybody is waitlisted first when he/she tries to register for a seminar in myStudies. Moreover: Only one mathematics seminar can be chosen per semester. In case you need to attend 2 seminars in this semester, please take contact with the Study Administration (email: ).)
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