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[FreeCoursesOnline.Me] Coursera - Practical Reinforcement Learning

magnet:?xt=urn:btih:31B47A1285DF93A33F1C80A563FD43B322FC434D&dn=%5BFreeCoursesOnline.Me%5D%20Coursera%20-%20Practical%20Reinforcement%20Learning

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31B47A1285DF93A33F1C80A563FD43B322FC434D

Number of Files:

111

Content Size:

1.41GB

Convert On:

2019-07-16

Keywords:

FreeCoursesOnline Me Coursera Practical Reinforcement Learning

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File Name

Size

001.Welcome/001. Why should you care.mp4

32.42MB

001.Welcome/001. Why should you care.srt

15.41KB

001.Welcome/002. Reinforcement learning vs all.mp4

10.8MB

001.Welcome/002. Reinforcement learning vs all.srt

4.91KB

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

17.88MB

002.Reinforcement Learning/003. Multi-armed bandit.srt

7.25KB

002.Reinforcement Learning/004. Decision process & applications.mp4

23.01MB

002.Reinforcement Learning/004. Decision process & applications.srt

9.71KB

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

18MB

003.Black box optimization/005. Markov Decision Process.srt

8.26KB

003.Black box optimization/006. Crossentropy method.mp4

36.01MB

003.Black box optimization/006. Crossentropy method.srt

15.53KB

003.Black box optimization/007. Approximate crossentropy method.mp4

19.27MB

003.Black box optimization/007. Approximate crossentropy method.srt

8.16KB

003.Black box optimization/008. More on approximate crossentropy method.mp4

22.89MB

003.Black box optimization/008. More on approximate crossentropy method.srt

10.45KB

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

20.86MB

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

7.34KB

004.All the cool stuff that isn't in the base track/010. Evolution strategies math problems.mp4

17.73MB

004.All the cool stuff that isn't in the base track/010. Evolution strategies math problems.srt

8.56KB

004.All the cool stuff that isn't in the base track/011. Evolution strategies log-derivative trick.mp4

27.84MB

004.All the cool stuff that isn't in the base track/011. Evolution strategies log-derivative trick.srt

12.64KB

004.All the cool stuff that isn't in the base track/012. Evolution strategies duct tape.mp4

21.17MB

004.All the cool stuff that isn't in the base track/012. Evolution strategies duct tape.srt

9.68KB

004.All the cool stuff that isn't in the base track/013. Blackbox optimization drawbacks.mp4

15.21MB

004.All the cool stuff that isn't in the base track/013. Blackbox optimization drawbacks.srt

7.31KB

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

49.7MB

005.Striving for reward/014. Reward design.srt

23.23KB

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

37.31MB

006.Bellman equations/015. State and Action Value Functions.srt

18.24KB

006.Bellman equations/016. Measuring Policy Optimality.mp4

18.08MB

006.Bellman equations/016. Measuring Policy Optimality.srt

8.52KB

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

31.92MB

007.Generalized Policy Iteration/017. Policy evaluation & improvement.srt

14.47KB

007.Generalized Policy Iteration/018. Policy and value iteration.mp4

24.16MB

007.Generalized Policy Iteration/018. Policy and value iteration.srt

12.05KB

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

28.78MB

008.Model-free learning/019. Model-based vs model-free.srt

14.07KB

008.Model-free learning/020. Monte-Carlo & Temporal Difference; Q-learning.mp4

30.11MB

008.Model-free learning/020. Monte-Carlo & Temporal Difference; Q-learning.srt

14.54KB

008.Model-free learning/021. Exploration vs Exploitation.mp4

28.23MB

008.Model-free learning/021. Exploration vs Exploitation.srt

13.95KB

008.Model-free learning/022. Footnote Monte-Carlo vs Temporal Difference.mp4

10.3MB

008.Model-free learning/022. Footnote Monte-Carlo vs Temporal Difference.srt

4.76KB

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

37.73MB

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

17.33KB

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

26.72MB

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

11.2KB

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

50.61MB

011.Limitations of Tabular Methods/025. Supervised & Reinforcement Learning.srt

25.39KB

011.Limitations of Tabular Methods/026. Loss functions in value based RL.mp4

33.76MB

011.Limitations of Tabular Methods/026. Loss functions in value based RL.srt

15.18KB

011.Limitations of Tabular Methods/027. Difficulties with Approximate Methods.mp4

47.03MB

011.Limitations of Tabular Methods/027. Difficulties with Approximate Methods.srt

21.86KB

012.Case Study Deep Q-Network/028. DQN bird's eye view.mp4

27.76MB

012.Case Study Deep Q-Network/028. DQN bird's eye view.srt

11.41KB

012.Case Study Deep Q-Network/029. DQN the internals.mp4

29.63MB

012.Case Study Deep Q-Network/029. DQN the internals.srt

12.25KB

013.Honor/030. DQN statistical issues.mp4

19.22MB

013.Honor/030. DQN statistical issues.srt

9.18KB

013.Honor/031. Double Q-learning.mp4

20.46MB

013.Honor/031. Double Q-learning.srt

9.44KB

013.Honor/032. More DQN tricks.mp4

33.94MB

013.Honor/032. More DQN tricks.srt

16.36KB

013.Honor/033. Partial observability.mp4

57.23MB

013.Honor/033. Partial observability.srt

27.73KB

014.Policy-based RL vs Value-based RL/034. Intuition.mp4

34.87MB

014.Policy-based RL vs Value-based RL/034. Intuition.srt

15.56KB

014.Policy-based RL vs Value-based RL/035. All Kinds of Policies.mp4

16.05MB

014.Policy-based RL vs Value-based RL/035. All Kinds of Policies.srt

7.41KB

014.Policy-based RL vs Value-based RL/036. Policy gradient formalism.mp4

31.56MB

014.Policy-based RL vs Value-based RL/036. Policy gradient formalism.srt

13.28KB

014.Policy-based RL vs Value-based RL/037. The log-derivative trick.mp4

13.29MB

014.Policy-based RL vs Value-based RL/037. The log-derivative trick.srt

5.91KB

015.REINFORCE/038. REINFORCE.mp4

31.42MB

015.REINFORCE/038. REINFORCE.srt

14KB

016.Actor-critic/039. Advantage actor-critic.mp4

24.63MB

016.Actor-critic/039. Advantage actor-critic.srt

11.81KB

016.Actor-critic/040. Duct tape zone.mp4

17.53MB

016.Actor-critic/040. Duct tape zone.srt

7.79KB

016.Actor-critic/041. Policy-based vs Value-based.mp4

16.79MB

016.Actor-critic/041. Policy-based vs Value-based.srt

7.08KB

016.Actor-critic/042. Case study A3C.mp4

26.09MB

016.Actor-critic/042. Case study A3C.srt

11.12KB

016.Actor-critic/043. A3C case study (2 2).mp4

14.96MB

016.Actor-critic/043. A3C case study (2 2).srt

5.95KB

016.Actor-critic/044. Combining supervised & reinforcement learning.mp4

24.02MB

016.Actor-critic/044. Combining supervised & reinforcement learning.srt

11.89KB

017.Measuting exploration/045. Recap bandits.mp4

24.66MB

017.Measuting exploration/045. Recap bandits.srt

11.94KB

017.Measuting exploration/046. Regret measuring the quality of exploration.mp4

21.27MB

017.Measuting exploration/046. Regret measuring the quality of exploration.srt

10.18KB

017.Measuting exploration/047. The message just repeats. 'Regret, Regret, Regret.'.mp4

18.43MB

017.Measuting exploration/047. The message just repeats. 'Regret, Regret, Regret.'.srt

8.72KB

018.Uncertainty-based exploration/048. Intuitive explanation.mp4

22.26MB

018.Uncertainty-based exploration/048. Intuitive explanation.srt

10.92KB

018.Uncertainty-based exploration/049. Thompson Sampling.mp4

17.09MB

018.Uncertainty-based exploration/049. Thompson Sampling.srt

7.89KB

018.Uncertainty-based exploration/050. Optimism in face of uncertainty.mp4

16.54MB

018.Uncertainty-based exploration/050. Optimism in face of uncertainty.srt

7.87KB

018.Uncertainty-based exploration/051. UCB-1.mp4

22.19MB

018.Uncertainty-based exploration/051. UCB-1.srt

10.38KB

018.Uncertainty-based exploration/052. Bayesian UCB.mp4

40.8MB

018.Uncertainty-based exploration/052. Bayesian UCB.srt

19.34KB

019.Planning with Monte Carlo Tree Search/053. Introduction to planning.mp4

51.63MB

019.Planning with Monte Carlo Tree Search/053. Introduction to planning.srt

25.42KB

019.Planning with Monte Carlo Tree Search/054. Monte Carlo Tree Search.mp4

30.92MB

019.Planning with Monte Carlo Tree Search/054. Monte Carlo Tree Search.srt

14.85KB

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133B

[FreeTutorials.Us].url

119B

[FTU Forum].url

252B

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