[FreeCoursesOnline Me] Coursera - Practical Reinforcement Learning

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Torrent Added :	1 Year+ in Other - Other
Torrent Size :	1.41 GB

[FreeCoursesOnline Me] Coursera - Practical Reinforcement Learning
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Torrent File Content (111 files)

[FreeCoursesOnline.Me] Coursera - Practical Reinforcement Learning
001.Welcome
001. Why should you care.mp4 -

32.42 MB

001. Why should you care.srt -

15.41 KB

002. Reinforcement learning vs all.mp4 -

10.8 MB

002. Reinforcement learning vs all.srt -

4.91 KB

002.Reinforcement Learning
003. Multi-armed bandit.mp4 -

17.88 MB

003. Multi-armed bandit.srt -

7.25 KB

004. Decision process & applications.mp4 -

23.01 MB

004. Decision process & applications.srt -

9.71 KB

003.Black box optimization
005. Markov Decision Process.mp4 -

18 MB

005. Markov Decision Process.srt -

8.26 KB

006. Crossentropy method.mp4 -

36.01 MB

006. Crossentropy method.srt -

15.53 KB

007. Approximate crossentropy method.mp4 -

19.27 MB

007. Approximate crossentropy method.srt -

8.16 KB

008. More on approximate crossentropy method.mp4 -

22.89 MB

008. More on approximate crossentropy method.srt -

10.45 KB

004.All the cool stuff that isn't in the base track
009. Evolution strategies core idea.mp4 -

20.86 MB

009. Evolution strategies core idea.srt -

7.34 KB

010. Evolution strategies math problems.mp4 -

17.73 MB

010. Evolution strategies math problems.srt -

8.56 KB

011. Evolution strategies log-derivative trick.mp4 -

27.84 MB

011. Evolution strategies log-derivative trick.srt -

12.64 KB

012. Evolution strategies duct tape.mp4 -

21.17 MB

012. Evolution strategies duct tape.srt -

9.68 KB

013. Blackbox optimization drawbacks.mp4 -

15.21 MB

013. Blackbox optimization drawbacks.srt -

7.31 KB

005.Striving for reward
014. Reward design.mp4 -

49.7 MB

014. Reward design.srt -

23.23 KB

006.Bellman equations
015. State and Action Value Functions.mp4 -

37.31 MB

015. State and Action Value Functions.srt -

18.24 KB

016. Measuring Policy Optimality.mp4 -

18.08 MB

016. Measuring Policy Optimality.srt -

8.52 KB

007.Generalized Policy Iteration
017. Policy evaluation & improvement.mp4 -

31.92 MB

017. Policy evaluation & improvement.srt -

14.47 KB

018. Policy and value iteration.mp4 -

24.16 MB

018. Policy and value iteration.srt -

12.05 KB

008.Model-free learning
019. Model-based vs model-free.mp4 -

28.78 MB

019. Model-based vs model-free.srt -

14.07 KB

020. Monte-Carlo & Temporal Difference; Q-learning.mp4 -

30.11 MB

020. Monte-Carlo & Temporal Difference; Q-learning.srt -

14.54 KB

021. Exploration vs Exploitation.mp4 -

28.23 MB

021. Exploration vs Exploitation.srt -

13.95 KB

022. Footnote Monte-Carlo vs Temporal Difference.mp4 -

10.3 MB

022. Footnote Monte-Carlo vs Temporal Difference.srt -

4.76 KB

009.On-policy vs off-policy
023. Accounting for exploration. Expected Value SARSA..mp4 -

37.73 MB

023. Accounting for exploration. Expected Value SARSA..srt -

17.33 KB

010.Experience Replay
024. On-policy vs off-policy; Experience replay.mp4 -

26.72 MB

024. On-policy vs off-policy; Experience replay.srt -

11.2 KB

011.Limitations of Tabular Methods
025. Supervised & Reinforcement Learning.mp4 -

50.61 MB

025. Supervised & Reinforcement Learning.srt -

25.39 KB

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[FreeCoursesOnline Me] Coursera - Practical Reinforcement Learning

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