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

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

Name	[FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	383.1 MB
Total Files	31
Last Seen	2025-06-08 23:50
Hash	9EF32795E424381EDF66EFCEDDD8DF00C5BC4EC9

/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0105.Configuring Reinforcement Learning Model with QLearning.QLConfiguration.mp4	13.5 MB
/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0102.Main Principles of Reinforcement Learning.mp4	20.4 MB
/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0104.Best Use Cases of Reinforcement Learning.mp4	6.0 MB
/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0103.Adding DL4J with RL4J to Our Project.mp4	19.1 MB
/01.Deep Dive into Reinforcement Learning with DL4J RL4J/0101.The Course Overview.mp4	26.6 MB
/05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0503.Configuring Reinforcement Learning Program Using A3C Configuration.mp4	16.1 MB
/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0303.Loading Cliff Walking Simulation.mp4	14.7 MB
/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0305.Starting QLearningDiscreteDense and Saving Results.mp4	20.8 MB
/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0304.Configuring RL4J Algorithm for Cliff Walking Problem.mp4	24.6 MB
/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0301.Adding Malmo Library to Our RL4J Project.mp4	14.4 MB
/05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0502.Setting Up A3C Learning Environment.mp4	9.0 MB
/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0302.Analyzing Possible Scenarios That Our Program Can Solve.mp4	3.2 MB
/02.Solving Cartpole with Markov Decision Processes (MDPs)/0202.Leveraging Markov Chain in Our Cartpole Solution.mp4	10.5 MB
/02.Solving Cartpole with Markov Decision Processes (MDPs)/0205.Running Cartpole and Validating Results.mp4	21.1 MB
/05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0505.Starting Program and Gathering Results.mp4	47.5 MB
Showing first 15 files of 31 total files