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| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0101.The Course Overview.mp4 |
25.3 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0102.Main Principles of Reinforcement Learning.mp4 |
19.4 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0103.Adding DL4J with RL4J to Our Project.mp4 |
18.3 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0104.Best Use Cases of Reinforcement Learning.mp4 |
5.7 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0105.Configuring Reinforcement Learning Model with QLearning.QLConfiguration.mp4 |
12.9 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/02.Solving Cartpole with Markov Decision Processes (MDPs)/0201.Understanding Cartpole Problem.mp4 |
5.4 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/02.Solving Cartpole with Markov Decision Processes (MDPs)/0202.Leveraging Markov Chain in Our Cartpole Solution.mp4 |
10.1 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/02.Solving Cartpole with Markov Decision Processes (MDPs)/0203.Using QLConfiguration to Configure Our Model.mp4 |
9.4 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/02.Solving Cartpole with Markov Decision Processes (MDPs)/0204.Using GymEnv Library from RL4J to Simulate Solution.mp4 |
12.9 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/02.Solving Cartpole with Markov Decision Processes (MDPs)/0205.Running Cartpole and Validating Results.mp4 |
20.2 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0301.Adding Malmo Library to Our RL4J Project.mp4 |
13.8 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0302.Analyzing Possible Scenarios That Our Program Can Solve.mp4 |
3 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0303.Loading Cliff Walking Simulation.mp4 |
14 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0304.Configuring RL4J Algorithm for Cliff Walking Problem.mp4 |
23.5 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0305.Starting QLearningDiscreteDense and Saving Results.mp4 |
19.9 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0401.Understanding Stock Prediction Problem.mp4 |
5.1 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0402.Creating Configuration for Stock Prediction Learning.mp4 |
10.2 MB |
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14 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0404.Performing Stock Prediction Training and Validating Results.mp4 |
12 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0501.Understanding Asynchronous Advantage Actor-Critic Technique(A3C).mp4 |
6 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0502.Setting Up A3C Learning Environment.mp4 |
8.6 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0503.Configuring Reinforcement Learning Program Using A3C Configuration.mp4 |
15.4 MB |
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13.2 MB |
| [FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]/05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0505.Starting Program and Gathering Results.mp4 |
45.3 MB |
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21.7 MB |
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