From 16e3ace3f0210cae08069a2eca21c443ea30cc39 Mon Sep 17 00:00:00 2001 From: Duane321 Date: Tue, 1 Nov 2022 22:06:07 -0700 Subject: [PATCH 1/2] add YouTube series on RL --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index 67e223f..ab57535 100644 --- a/README.md +++ b/README.md @@ -40,6 +40,10 @@ A curated list of awesome reinforcement courses, video lectures, books, library 8. [Lecture 10: Reinforcement Learning 1](https://www.youtube.com/watch?v=ifma8G7LegE) 9. [Lecture 11: Reinforcement Learning 2](https://www.youtube.com/watch?v=Si1_YTw960c) 10. [MIT 6.S191: Reinforcement Learning](https://www.youtube.com/watch?v=93M1l_nrhpQ) +11. [Reinforcement Learning: A Six Part Series](https://youtu.be/NFo9v_yKQXA) +12. [The Bellman Equations, Dynamic Programming, and Generalized Policy Iteration](https://youtu.be/_j6pvGEchWU) +13. [Monte Carlo And Off-Policy Methods](https://youtu.be/bpUszPiWM7o) +14. [TD Learning, Sarsa, and Q-Learning](https://youtu.be/AJiG3ykOxmY) ### Papers 1. [Generalization in Reinforcement Learning: Successful examples using sparse coding, Richard S. Sutton](http://webdocs.cs.ualberta.ca/~sutton/papers/sutton-96.pdf) From 6d45958b034606754b565256e7d7c0e722e62908 Mon Sep 17 00:00:00 2001 From: Duane321 Date: Tue, 1 Nov 2022 22:07:46 -0700 Subject: [PATCH 2/2] tweak --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index ab57535..23fe945 100644 --- a/README.md +++ b/README.md @@ -40,10 +40,10 @@ A curated list of awesome reinforcement courses, video lectures, books, library 8. [Lecture 10: Reinforcement Learning 1](https://www.youtube.com/watch?v=ifma8G7LegE) 9. [Lecture 11: Reinforcement Learning 2](https://www.youtube.com/watch?v=Si1_YTw960c) 10. [MIT 6.S191: Reinforcement Learning](https://www.youtube.com/watch?v=93M1l_nrhpQ) -11. [Reinforcement Learning: A Six Part Series](https://youtu.be/NFo9v_yKQXA) -12. [The Bellman Equations, Dynamic Programming, and Generalized Policy Iteration](https://youtu.be/_j6pvGEchWU) -13. [Monte Carlo And Off-Policy Methods](https://youtu.be/bpUszPiWM7o) -14. [TD Learning, Sarsa, and Q-Learning](https://youtu.be/AJiG3ykOxmY) +11. [Reinforcement Learning: A Six Part Series](https://youtu.be/NFo9v_yKQXA) +12. [The Bellman Equations, Dynamic Programming, and Generalized Policy Iteration](https://youtu.be/_j6pvGEchWU) +13. [Monte Carlo And Off-Policy Methods](https://youtu.be/bpUszPiWM7o) +14. [TD Learning, Sarsa, and Q-Learning](https://youtu.be/AJiG3ykOxmY) ### Papers 1. [Generalization in Reinforcement Learning: Successful examples using sparse coding, Richard S. Sutton](http://webdocs.cs.ualberta.ca/~sutton/papers/sutton-96.pdf)