FreeCoursesOnline Me Packt Hands On Reinforcement Learning with Java FCO

FreeCoursesOnline Me Packt Hands On Reinforcement Learning with Java FCO

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

/0. Websites you may like/
0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	0.4 KB
1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url	0.3 KB
2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	0.3 KB
3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url	0.2 KB
4. (FTUApps.com) Download Cracked Developers Applications For Free.url	0.2 KB
How you can help Team-FTU.txt	0.2 KB
/01.Deep Dive into Reinforcement Learning with DL4J RL4J/
0101.The Course Overview.mp4	26.6 MB
0102.Main Principles of Reinforcement Learning.mp4	20.4 MB
0103.Adding DL4J with RL4J to Our Project.mp4	19.1 MB
0104.Best Use Cases of Reinforcement Learning.mp4	6.0 MB
0105.Configuring Reinforcement Learning Model with QLearning.QLConfiguration.mp4	13.5 MB
/02.Solving Cartpole with Markov Decision Processes (MDPs)/
0201.Understanding Cartpole Problem.mp4	5.6 MB
0202.Leveraging Markov Chain in Our Cartpole Solution.mp4	10.5 MB
0203.Using QLConfiguration to Configure Our Model.mp4	9.9 MB
0204.Using GymEnv Library from RL4J to Simulate Solution.mp4	13.6 MB
0205.Running Cartpole and Validating Results.mp4	21.1 MB
/03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/
0301.Adding Malmo Library to Our RL4J Project.mp4	14.4 MB
0302.Analyzing Possible Scenarios That Our Program Can Solve.mp4	3.2 MB
0303.Loading Cliff Walking Simulation.mp4	14.7 MB
0304.Configuring RL4J Algorithm for Cliff Walking Problem.mp4	24.6 MB
0305.Starting QLearningDiscreteDense and Saving Results.mp4	20.8 MB
/04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/
0401.Understanding Stock Prediction Problem.mp4	5.4 MB
0402.Creating Configuration for Stock Prediction Learning.mp4	10.7 MB
0403.Leveraging QLearningDiscreteDense from RL4J API.mp4	14.7 MB
0404.Performing Stock Prediction Training and Validating Results.mp4	12.6 MB
/05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/
0501.Understanding Asynchronous Advantage Actor-Critic Technique(A3C).mp4	6.3 MB
0502.Setting Up A3C Learning Environment.mp4	9.0 MB
0503.Configuring Reinforcement Learning Program Using A3C Configuration.mp4	16.1 MB
0504.Using A3C Technique with ActorCriticFactorySeparateStdDense.mp4	13.9 MB
0505.Starting Program and Gathering Results.mp4	47.5 MB
/Exercise Files/
exercise_files.zip	22.8 MB
Total files 31