Pluralsight Understanding Algorithms for Reinforcement Learning | 430BE7AC24EFF3D791D9146490135B8499D30C25

Pluralsight Understanding Algorithms for Reinforcement Learning

Name	Pluralsight Understanding Algorithms for Reinforcement Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	242.9 MB
Total Files	58
Hash	430BE7AC24EFF3D791D9146490135B8499D30C25

/04.Using Reinforcement Learning Platforms/
0406.Demo Q-learning to Balance a Pole on a Cart Simulation.mp4	15.5 MB
0401.Module Overview.mp4	1.8 MB
0401.Module Overview.srt	1.7 KB
0402.Exploring Reinforcement Learning Platforms.mp4	12.5 MB
0402.Exploring Reinforcement Learning Platforms.srt	5.9 KB
0403.Exploring Environments in the Open AI Gym.mp4	7.5 MB
0403.Exploring Environments in the Open AI Gym.srt	4.3 KB
0404.Demo Q-learning Using SARSA in the Frozen Lake Environment.mp4	15.1 MB
0404.Demo Q-learning Using SARSA in the Frozen Lake Environment.srt	9.6 KB
0405.Demo Q-learning to Balance a Pole on a Cart.mp4	13.0 MB
0405.Demo Q-learning to Balance a Pole on a Cart.srt	7.6 KB
0406.Demo Q-learning to Balance a Pole on a Cart Simulation.srt	9.5 KB
0407.Summary and Further Study.mp4	2.6 MB
0407.Summary and Further Study.srt	3.1 KB
/01.Course Overview/
0101.Course Overview.srt	2.9 KB
0101.Course Overview.mp4	5.0 MB
/02.Understanding the Reinforcement Learning Problem/
0201.Module Overview .mp4	3.0 MB
0201.Module Overview .srt	2.6 KB
0202.Prerequisites and Course Overview.mp4	3.6 MB
0202.Prerequisites and Course Overview.srt	3.9 KB
0203.Supervised and Unsupervised Machine Learning Techniques.mp4	7.5 MB
0203.Supervised and Unsupervised Machine Learning Techniques.srt	7.8 KB
0204.Introducing Reinforcement Learning.mp4	11.4 MB
0204.Introducing Reinforcement Learning.srt	9.7 KB
0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.mp4	5.7 MB
0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.srt	3.7 KB
0206.Modeling the Environment as a Markov Decision Process.mp4	9.8 MB
0206.Modeling the Environment as a Markov Decision Process.srt	9.6 KB
0207.Reinforcement Learning Applications.mp4	4.1 MB
0207.Reinforcement Learning Applications.srt	4.9 KB
0208.Understanding Policy Search.mp4	11.0 MB
0208.Understanding Policy Search.srt	11.0 KB
0209.Policy Search Algorithms.mp4	6.2 MB
0209.Policy Search Algorithms.srt	6.3 KB
/03.Implementing Reinforcement Learning Algorithms/
0301.Module Overview.mp4	1.9 MB
0301.Module Overview.srt	1.9 KB
0302.Dynamic Programming.mp4	5.0 MB
0302.Dynamic Programming.srt	4.0 KB
0303.Demo 8-Queens Algorithm Using Dynamic Programming, Helper Functions.mp4	14.0 MB
0303.Demo 8-Queens Algorithm Using Dynamic Programming, Helper Functions.srt	9.7 KB
0304.Demo 8-Queens Algorithm Using Dynamic Programming, Place Queens.mp4	12.1 MB
0304.Demo 8-Queens Algorithm Using Dynamic Programming, Place Queens.srt	7.4 KB
0305.Policy Search Techniques Q-learning and SARSA.mp4	3.6 MB
0305.Policy Search Techniques Q-learning and SARSA.srt	3.5 KB
0306.Intuition Behind Q-learning.mp4	15.2 MB
0306.Intuition Behind Q-learning.srt	12.5 KB
0307.Q-learning Using the Temporal Difference Method and SARSA.mp4	8.3 MB
0307.Q-learning Using the Temporal Difference Method and SARSA.srt	8.1 KB
0308.Exploring State Space.mp4	12.3 MB
0308.Exploring State Space.srt	10.2 KB
0309.Demo Q-learning for Shortest Path Initialization.mp4	9.7 MB
0309.Demo Q-learning for Shortest Path Initialization.srt	6.6 KB
0310.Demo Q-learning for Shortest Path Implementation.mp4	13.0 MB
0310.Demo Q-learning for Shortest Path Implementation.srt	7.0 KB
0311.Intuitive Differences Between the Temporal Difference Method and SARSA.mp4	7.0 MB
0311.Intuitive Differences Between the Temporal Difference Method and SARSA.srt	5.1 KB
0312.Q-values as a Memoization Technique.mp4	5.6 MB
0312.Q-values as a Memoization Technique.srt	3.7 KB
Total files 58