Temporal Difference Learning (including Q-Learning) | Reinforcement Learning Part 4 скачать в хорошем качестве

Temporal Difference Learning (including Q-Learning) | Reinforcement Learning Part 4

The machine learning consultancy: https://truetheta.io Join my email list to get educational and useful articles (and nothing else!): https://mailchi.mp/truetheta/true-the... Want to work together? See here: https://truetheta.io/about/#want-to-w... Part four of a six part series on Reinforcement Learning. As the title says, it covers Temporal Difference Learning, Sarsa and Q-Learning, along with some examples. SOCIAL MEDIA LinkedIn :   / dj-rich-90b91753   Twitter :   / duanejrich   Github: https://github.com/Duane321 Enjoy learning this way? Want me to make more videos? Consider supporting me on Patreon:   / mutualinformation   SOURCES [1] R. Sutton and A. Barto. Reinforcement learning: An Introduction (2nd Ed). MIT Press, 2018. [2] H. Hasselt, et al. RL Lecture Series, Deepmind and UCL, 2021,    • DeepMind x UCL | Deep Learning Lecture Ser...   SOURCE NOTES The video covers topics from chapters 6 and 7 from [1]. The whole series teaches from [1]. [2] has been a useful secondary resource. TIMESTAMP 0:00 What We'll Learn 0:52 No Review 1:18 TD as an Adjusted Version of MC 2:49 TD Visualized with a Markov Reward Process 6:34 N-Step Temporal Difference Learning 8:08 MC vs TD on an Evaluation Example 11:50 TD's Trade-Off between N and Alpha 12:47 Why does TD Perform Better than MC? 15:29 N-Step Sarsa 17:15 Why have N above 1? 19:02 Q-Learning 20:50 Expected Sarsa 21:48 Cliff Walking 25:04 Windy GridWorld 28:12 Watch the Next Video! NOTES Code to compare TD vs MC on the evaluation task: https://github.com/Duane321/mutual_in...