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| # Exercise Content | ||
| 01. Basics of Python for Scientific Computing | ||
| * [Tutorial video](https://www.youtube.com/watch?v=MJXVQXkOEAA&feature=youtu.be) | ||
| * [Tutorial template](../../master/exercises/templates/ex01) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex01) | ||
| 01. Basics of Python for Scientific Computing | ||
| * [Tutorial video](https://www.youtube.com/watch?v=MJXVQXkOEAA&feature=youtu.be) (only 2022 edition available due to technical outage) | ||
| * [Tutorial template](./templates/ex01) | ||
| * [Tutorial solution](./solutions/ex01) | ||
| 02. Manually Solving Basic Markov Chain, Reward and Decision Problems | ||
| * [Tutorial video](https://www.youtube.com/watch?v=3PPIHd3lO4k) | ||
| * [Tutorial template](../../master/exercises/templates/ex02) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex02) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=d38-TmkEZxQ) | ||
| * [Tutorial template](./templates/ex02) | ||
| * [Tutorial solution](./solutions/ex02) | ||
| 03. The Beer-Bachelor and Dynamic Programming (the Shortest Beer Problem) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=Z9QTRtJfZaM&feature=youtu.be) | ||
| * [Tutorial template](../../master/exercises/templates/ex03) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex03) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=Z9QTRtJfZaM&feature=youtu.be) (only 2022 edition available due to technical outage) | ||
| * [Tutorial template](./templates/ex03) | ||
| * [Tutorial solution](./solutions/ex03) | ||
| 04. Drive Through the Race Track with Monte Carlo Learning | ||
| * [Tutorial video](https://www.youtube.com/watch?v=GlL1d4Ivo_g&t=880s) | ||
| * [Tutorial template](../../master/exercises/templates/ex04) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex04) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=TSwWlfZXDWw) | ||
| * [Tutorial template](./templates/ex04) | ||
| * [Tutorial solution](./solutions/ex04) | ||
| 05. Drive even Faster Using Temporal-Difference Learning | ||
| * [Tutorial video](https://www.youtube.com/watch?v=eTFugChiOaE&feature=youtu.be) | ||
| * [Tutorial template](../../master/exercises/templates/ex05) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex05) | ||
| 06. Stabilizing the Inverted Pendulum by Tabular n-Step Methods | ||
| * [Tutorial video](https://www.youtube.com/watch?v=4ACrTBFRw50) | ||
| * [Tutorial template](../../master/exercises/templates/ex06) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex06) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=zXdyABW8Hb8) | ||
| * [Tutorial template](./templates/ex05) | ||
| * [Tutorial solution](./solutions/ex05) | ||
| 06. Stabilizing the Inverted Pendulum by Tabular Multi-Step Methods | ||
| * [Tutorial video](https://www.youtube.com/watch?v=GwbfODvSpX8) | ||
| * [Tutorial template](./templates/ex06) | ||
| * [Tutorial solution](./solutions/ex06) | ||
| 07. Boosting the Inverted Pendulum by Integrating Learning & Planning (Dyna Framework) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=KXNu7xDZ9Bg&feature=youtu.be) | ||
| * [Tutorial template](../../master/exercises/templates/ex07) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex07) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=FvpIQN4mj2M) | ||
| * [Tutorial template](./templates/ex07) | ||
| * [Tutorial solution](./solutions/ex07) | ||
| 08. Predicting the Operating Behavior of a Real Electric Drive Systems with Supervised Learning | ||
| * [Tutorial video](https://www.youtube.com/watch?v=zxC87jRnT08) | ||
| * [Tutorial template](../../master/exercises/templates/ex08) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex08) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=Aivh5ykeJ2Q) | ||
| * [Tutorial template](./templates/ex08) | ||
| * [Tutorial solution](./solutions/ex08) | ||
| 09. Evaluate the Performance of Given Agents in the Mountain Car Problem Using Function Approximation | ||
| * [Tutorial video](https://www.youtube.com/watch?v=zCv29hVyxNk&t=2162s) | ||
| * [Tutorial template](../../master/exercises/templates/ex09) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex09) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=AY7fvqnjmGU) | ||
| * [Tutorial template](./templates/ex09) | ||
| * [Tutorial solution](./solutions/ex09) | ||
| 10. Escape from the Mountain Car Valley Using Semi-Gradient Sarsa & Least Square Policy Iteration | ||
| * [Tutorial video](https://www.youtube.com/watch?v=FrMSB7Dgp7c&feature=youtu.be) | ||
| * [Tutorial template](../../master/exercises/templates/ex10) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex10) | ||
| 11. Improve the Value-Based Mount Car Solution using Sarsa(Lambda) | ||
| * [Tutorial video](https://www.youtube.com/watch?v=bhZGpuh5-6M) | ||
| * [Tutorial template](../../master/exercises/templates/ex11) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex11) | ||
| 12. Landing on the Moon with REINFORCE and Actor-Critic Methods | ||
| * [Tutorial video](https://www.youtube.com/watch?v=IPxare_FmlE) | ||
| * [Tutorial template](./templates/ex10) | ||
| * [Tutorial solution](./solutions/ex10) | ||
| 11. Landing on the Moon with REINFORCE and Actor-Critic Methods | ||
| * [Tutorial video](https://www.youtube.com/watch?v=LeVDStyEjAo) | ||
| * [Tutorial template](../../master/exercises/templates/ex12) | ||
| * [Tutorial solution](../../master/exercises/solutions/ex12) | ||
| * [Tutorial template](./templates/ex11) | ||
| * [Tutorial solution](./solutions/ex11) | ||
| 12. Shoot for the moon with DDPG & PPO | ||
| * [Tutorial video](https://www.youtube.com/watch?v=4RyX7L-MbsU) | ||
| * [Tutorial template](./templates/ex12) | ||
| * [Tutorial solution](./solutions/ex12) |
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