[CourseClub.NET] Coursera - Practical Reinforcement Learning

Torrent Hash:
DA9C0F62F333DB6C8EC4225316AE6B96055AD1B3
Number of Files:
110
Content Size:
1.41GB
Convert On:
2018-09-21
Keywords:
CourseClubNETCourseraPracticalReinforcementLearning
Magnet Link:
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File Name
Size
001.Welcome/001. Why should you care.mp4
32.42MB
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001.Welcome/001. Why should you care.srt
15.41KB
001.Welcome/002. Reinforcement learning vs all.mp4
10.8MB
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001.Welcome/002. Reinforcement learning vs all.srt
4.91KB
002.Reinforcement Learning/003. Multi-armed bandit.mp4
17.88MB
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002.Reinforcement Learning/003. Multi-armed bandit.srt
7.25KB
002.Reinforcement Learning/004. Decision process & applications.mp4
23.01MB
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002.Reinforcement Learning/004. Decision process & applications.srt
9.71KB
003.Black box optimization/005. Markov Decision Process.mp4
18MB
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003.Black box optimization/005. Markov Decision Process.srt
8.26KB
003.Black box optimization/006. Crossentropy method.mp4
36.01MB
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003.Black box optimization/006. Crossentropy method.srt
15.53KB
003.Black box optimization/007. Approximate crossentropy method.mp4
19.27MB
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003.Black box optimization/007. Approximate crossentropy method.srt
8.16KB
003.Black box optimization/008. More on approximate crossentropy method.mp4
22.89MB
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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
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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
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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
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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
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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
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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
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005.Striving for reward/014. Reward design.srt
23.23KB
006.Bellman equations/015. State and Action Value Functions.mp4
37.31MB
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006.Bellman equations/015. State and Action Value Functions.srt
18.24KB
006.Bellman equations/016. Measuring Policy Optimality.mp4
18.08MB
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006.Bellman equations/016. Measuring Policy Optimality.srt
8.52KB
007.Generalized Policy Iteration/017. Policy evaluation & improvement.mp4
31.92MB
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007.Generalized Policy Iteration/017. Policy evaluation & improvement.srt
14.47KB
007.Generalized Policy Iteration/018. Policy and value iteration.mp4
24.16MB
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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012.Case Study Deep Q-Network/029. DQN the internals.srt
12.25KB
013.Honor/030. DQN statistical issues.mp4
19.22MB
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013.Honor/030. DQN statistical issues.srt
9.18KB
013.Honor/031. Double Q-learning.mp4
20.46MB
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013.Honor/031. Double Q-learning.srt
9.44KB
013.Honor/032. More DQN tricks.mp4
33.94MB
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013.Honor/032. More DQN tricks.srt
16.36KB
013.Honor/033. Partial observability.mp4
57.23MB
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013.Honor/033. Partial observability.srt
27.73KB
014.Policy-based RL vs Value-based RL/034. Intuition.mp4
34.87MB
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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
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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
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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
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014.Policy-based RL vs Value-based RL/037. The log-derivative trick.srt
5.91KB
015.REINFORCE/038. REINFORCE.mp4
31.42MB
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015.REINFORCE/038. REINFORCE.srt
14KB
016.Actor-critic/039. Advantage actor-critic.mp4
24.63MB
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016.Actor-critic/039. Advantage actor-critic.srt
11.81KB
016.Actor-critic/040. Duct tape zone.mp4
17.53MB
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016.Actor-critic/040. Duct tape zone.srt
7.79KB
016.Actor-critic/041. Policy-based vs Value-based.mp4
16.79MB
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016.Actor-critic/041. Policy-based vs Value-based.srt
7.08KB
016.Actor-critic/042. Case study A3C.mp4
26.09MB
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016.Actor-critic/042. Case study A3C.srt
11.12KB
016.Actor-critic/043. A3C case study (2 2).mp4
14.96MB
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016.Actor-critic/043. A3C case study (2 2).srt
5.95KB
016.Actor-critic/044. Combining supervised & reinforcement learning.mp4
24.02MB
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016.Actor-critic/044. Combining supervised & reinforcement learning.srt
11.89KB
017.Measuting exploration/045. Recap bandits.mp4
24.66MB
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017.Measuting exploration/045. Recap bandits.srt
11.94KB
017.Measuting exploration/046. Regret measuring the quality of exploration.mp4
21.27MB
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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
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017.Measuting exploration/047. The message just repeats. 'Regret, Regret, Regret.'.srt
8.72KB
018.Uncertainty-based exploration/048. Intuitive explanation.mp4
22.26MB
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018.Uncertainty-based exploration/048. Intuitive explanation.srt
10.92KB
018.Uncertainty-based exploration/049. Thompson Sampling.mp4
17.09MB
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018.Uncertainty-based exploration/049. Thompson Sampling.srt
7.89KB
018.Uncertainty-based exploration/050. Optimism in face of uncertainty.mp4
16.54MB
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018.Uncertainty-based exploration/050. Optimism in face of uncertainty.srt
7.87KB
018.Uncertainty-based exploration/051. UCB-1.mp4
22.19MB
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018.Uncertainty-based exploration/051. UCB-1.srt
10.38KB
018.Uncertainty-based exploration/052. Bayesian UCB.mp4
40.8MB
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018.Uncertainty-based exploration/052. Bayesian UCB.srt
19.34KB
019.Planning with Monte Carlo Tree Search/053. Introduction to planning.mp4
51.63MB
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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
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019.Planning with Monte Carlo Tree Search/054. Monte Carlo Tree Search.srt
14.85KB
[CourseClub.NET].url
123B
[DesireCourse.Com].url
51B

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