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  • U: Anonymous
  • D: 2019-08-23 19:16:59
  • C: APPS

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ReScene version pyReScene Auto 0.7 JGTiSO File size CRC
Download
21,080
Stored files
5,147 5AE28122
704 D2DDCB02
RAR-files
jgt-9781789958164.rar 15,000,000 91E4F3B1
jgt-9781789958164.r00 15,000,000 44AA9A0D
jgt-9781789958164.r01 15,000,000 BEE30284
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jgt-9781789958164.r03 15,000,000 97AA6310
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jgt-9781789958164.r05 15,000,000 874D394A
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jgt-9781789958164.r07 15,000,000 AFBB1528
jgt-9781789958164.r08 15,000,000 565C12B1
jgt-9781789958164.r09 15,000,000 A1F3574D
jgt-9781789958164.r10 15,000,000 9AE03C5A
jgt-9781789958164.r11 15,000,000 10E0EA23
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jgt-9781789958164.r16 15,000,000 A2B29564
jgt-9781789958164.r17 15,000,000 A9B42A7C
jgt-9781789958164.r18 15,000,000 C30D4B69
jgt-9781789958164.r19 15,000,000 DBBED70D
jgt-9781789958164.r20 6,229,226 C3E6159E
Total size: 321,229,226
Archived files
Packt Hands-On Reinforcement Learning with Java\01.Deep Dive into Reinforcement Learning with DL4J – RL4J\0101.The Course Overview.mp4 [5bba006682810408] 9,442,297 98D7C1AC
Packt Hands-On Reinforcement Learning with Java\01.Deep Dive into Reinforcement Learning with DL4J – RL4J\0102.Main Principles of Reinforcement Learning.mp4 [f9fddb92eb109b4b] 5,928,103 3E340ED1
Packt Hands-On Reinforcement Learning with Java\01.Deep Dive into Reinforcement Learning with DL4J – RL4J\0103.Adding DL4J with RL4J to Our Project.mp4 [ba8954e749d06ee1] 19,143,256 EF9A8118
Packt Hands-On Reinforcement Learning with Java\01.Deep Dive into Reinforcement Learning with DL4J – RL4J\0104.Best Use Cases of Reinforcement Learning.mp4 [de433ee3da168cd] 6,021,825 DBE87B22
Packt Hands-On Reinforcement Learning with Java\01.Deep Dive into Reinforcement Learning with DL4J – RL4J\0105.Configuring Reinforcement Learning Model with QLearning.QLConfiguration.mp4 [6c4b4238bfd46fe2] 13,519,346 37210E5C
Packt Hands-On Reinforcement Learning with Java\02.Solving Cartpole with Markov Decision Processes (MDPs)\0201.Understanding Cartpole Problem.mp4 [537d4a1bc9522360] 5,636,447 EA889D8A
Packt Hands-On Reinforcement Learning with Java\02.Solving Cartpole with Markov Decision Processes (MDPs)\0202.Leveraging Markov Chain in Our Cartpole Solution.mp4 [23adc902f3e1c609] 10,544,746 AA5244F5
Packt Hands-On Reinforcement Learning with Java\02.Solving Cartpole with Markov Decision Processes (MDPs)\0203.Using QLConfiguration to Configure Our Model.mp4 [e353dca3af93f49] 9,906,454 FA6A809A
Packt Hands-On Reinforcement Learning with Java\02.Solving Cartpole with Markov Decision Processes (MDPs)\0204.Using GymEnv Library from RL4J to Simulate Solution.mp4 [ff224b4b99e63b40] 13,554,442 E969B356
Packt Hands-On Reinforcement Learning with Java\02.Solving Cartpole with Markov Decision Processes (MDPs)\0205.Running Cartpole and Validating Results.mp4 [58426e9bdc8ae25] 21,136,777 26D551DA
Packt Hands-On Reinforcement Learning with Java\03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming\0301.Adding Malmo Library to Our RL4J Project.mp4 [ef3336c2f369ba44] 14,429,114 77EACF8C
Packt Hands-On Reinforcement Learning with Java\03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming\0302.Analyzing Possible Scenarios That Our Program Can Solve.mp4 [4168dd49a714e614] 3,185,565 6400D2BF
Packt Hands-On Reinforcement Learning with Java\03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming\0303.Loading Cliff Walking Simulation.mp4 [d8c16ea1c4939cc8] 14,706,620 1246B80F
Packt Hands-On Reinforcement Learning with Java\03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming\0304.Configuring RL4J Algorithm for Cliff Walking Problem.mp4 [4a1cf6834e6f7e2f] 24,636,160 56228570
Packt Hands-On Reinforcement Learning with Java\03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming\0305.Starting QLearningDiscreteDense and Saving Results.mp4 [699b60f9f2bfe093] 20,834,396 E4065DE1
Packt Hands-On Reinforcement Learning with Java\04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning\0401.Understanding Stock Prediction Problem.mp4 [1f47714892714ca] 5,387,660 4F971BC5
Packt Hands-On Reinforcement Learning with Java\04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning\0402.Creating Configuration for Stock Prediction Learning.mp4 [3e42e58b15105062] 10,708,407 74DEED90
Packt Hands-On Reinforcement Learning with Java\04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning\0403.Leveraging QLearningDiscreteDense from RL4J API.mp4 [8bdf0cc76fcc721a] 14,716,715 F25CB039
Packt Hands-On Reinforcement Learning with Java\04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning\0404.Performing Stock Prediction Training and Validating Results.mp4 [bbd267014a59d7ae] 12,572,298 C3FC202C
Packt Hands-On Reinforcement Learning with Java\05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\0501.Understanding Asynchronous Advantage Actor-Critic Technique(A3C).mp4 [8a0c9536b15ce44a] 6,257,143 B7B19BA9
Packt Hands-On Reinforcement Learning with Java\05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\0502.Setting Up A3C Learning Environment.mp4 [e40c265cda3cfad4] 8,985,683 D97880E3
Packt Hands-On Reinforcement Learning with Java\05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\0503.Configuring Reinforcement Learning Program Using A3C Configuration.mp4 [7ed6e1640f8584b8] 16,134,242 7CE55A82
Packt Hands-On Reinforcement Learning with Java\05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\0504.Using A3C Technique with ActorCriticFactorySeparateStdDense.mp4 [dfa88b0a201a90b7] 13,892,197 BF8D57AB
Packt Hands-On Reinforcement Learning with Java\05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\0505.Starting Program and Gathering Results.mp4 [4808ab3fb2399d66] 13,987,689 70D4752D
Packt Hands-On Reinforcement Learning with Java\Exercise Files\exercise_files.zip 22,765,193 E817F4D4
Packt Hands-On Reinforcement Learning with Java\01.Deep Dive into Reinforcement Learning with DL4J – RL4J 0 00000000
Packt Hands-On Reinforcement Learning with Java\02.Solving Cartpole with Markov Decision Processes (MDPs) 0 00000000
Packt Hands-On Reinforcement Learning with Java\03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming 0 00000000
Packt Hands-On Reinforcement Learning with Java\04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning 0 00000000
Packt Hands-On Reinforcement Learning with Java\05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL 0 00000000
Packt Hands-On Reinforcement Learning with Java\Exercise Files 0 00000000
Packt Hands-On Reinforcement Learning with Java 0 00000000
Total size: 318,032,775
RAR Recovery
Present (Protect+) 3,183,888
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