Course: ELEC-E8125 - Reinforcement learning D, Lecture, 5.9.2022-30.11.2022, Topic: Lectures

Home Schools Course feedback Service Links Intelliboard

This course space end date is set to 30.11.2022 Search Courses: ELEC-E8125

Topic outline

Lectures
Lectures will be places of discussion where the current topic is summarized by the lecturer and discussed among all present. The students are expected to prepare by reading given material in advance prior to each lecture.
- Course arrangements File
  
  PDF document
- Lecture 1: Overview File
  
  PDF document
- Lecture 1 recording (Aalto login only) URL
- Lecture 2: Markov decision processes File
  
  PDF document
- Lecture 2 recording (Aalto login only) URL
- Lecture 3: Reinforcement learning File
  
  PDF document
- Lecture 3 recording from 2021 (Aalto login only) URL
  
  This lecture recording is from the 2021 instance of the course.
- Lecture 4: Function approximation File
  
  PDF document
- Lecture 4 recording (Aalto login only) URL
- Lecture 5: Policy gradient File
  
  PDF document
- Lecture 5 recording (Aalto login only) URL
- Lecture 6: Actor-critic methods File
  
  PDF document
- Lecture 6 recording (Aalto login only) URL
- Lecture 7: Model-based reinforcement learning File
  
  PDF document
- Lecture 7 recording (Aalto login only) URL
- Lecture 8: Interleaved learning and planning in model-based RL File
  
  PDF document
- Lecture 8 recording (Aalto login only) URL
- Lecture 9: Exploration and exploitation File
  
  PDF document
- Lecture 9 recording (Aalto login only) URL
- Lecture 10: Guest lecture (Aidan Scannell). Model-based reinforcement learning under uncertainty: the importance of knowing what you don't know File
  
  PDF document
- Lecture 10 recording (Aalto login only) URL
- Lecture 11: Partially observable MDPs File
  
  PDF document
- Lecture 11 recording (Aalto login only) URL