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Hands-On Reinforcement Learning with Java [Video]\5.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\24.Starting Program and Gathering Results.mp4
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Hands-On Reinforcement Learning with Java [Video]\5.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\22.Configuring Reinforcement Learning Program Using A3C Configuration.mp4
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Hands-On Reinforcement Learning with Java [Video]\5.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\20.Understanding Asynchronous Advantage Actor-Critic Technique(A3C).mp4
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Hands-On Reinforcement Learning with Java [Video]\5.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\23.Using A3C Technique with ActorCriticFactorySeparateStdDense.mp4
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Hands-On Reinforcement Learning with Java [Video]\5.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL\21.Setting Up A3C Learning Environment.mp4
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Hands-On Reinforcement Learning with Java [Video]\4.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning\18.Leveraging QLearningDiscreteDense from RL4J API.mp4
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Hands-On Reinforcement Learning with Java [Video]\4.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning\19.Performing Stock Prediction Training and Validating Results.mp4
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Hands-On Reinforcement Learning with Java [Video]\4.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning\17.Creating Configuration for Stock Prediction Learning.mp4
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Hands-On Reinforcement Learning with Java [Video]\4.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning\16.Understanding Stock Prediction Problem.mp4
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Hands-On Reinforcement Learning with Java [Video]\3.Using Project Malmo R |
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Hands-On Reinforcement Learning with Java [Video]\2.Solving Cartpole with Markov Decision Processes (MDPs)\07.Leveraging Markov Chain in Our Cartpole Solution.mp4
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Hands-On Reinforcement Learning with Java [Video]\2.Solving Cartpole with Markov Decision Processes (MDPs)\10.Running Cartpole and Validating Results.mp4
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Hands-On Reinforcement Learning with Java [Video]\2.Solving Cartpole with Markov Decision Processes (MDPs)\06.Understanding Cartpole Problem.mp4
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Hands-On Reinforcement Learning with Java [Video]\2.Solving Cartpole with Markov Decision Processes (MDPs)\09.Using GymEnv Library from RL4J to Simulate Solution.mp4
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Hands-On Reinforcement Learning with Java [Video]\2.Solving Cartpole with Markov Decision Processes (MDPs)\08.Using QLConfiguration to Configure Our Model.mp4
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Hands-On Reinforcement Learning with Java [Video]\1.Deep Dive into Reinforcement Learning with DL4J R |
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