Reinforcement Learning Specialization
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tuts756
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Description
Master the Concepts of Reinforcement Learning. Implement a complete RL solution and understand how to apply AI tools to solve real-world problems.
What you’ll learn
Build a Reinforcement Learning system for sequential decision making.
Understand the space of RL algorithms (Temporal- Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradients, Dyna, and more).
Understand how to formalize your task as a Reinforcement Learning problem, and how to begin implementing a solution.
Understand how RL fits under the broader umbrella of machine learning, and how it complements deep learning, supervised and unsupervised learning
Last Updated 6/2023
| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/04_warren-powell-approximate-dynamic-programming-for-fleet-management-long.mp4 | 145.35 MiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/01_welcome-to-the-course/01_course-introduction/04_read-me-pre-requisites-and-learning-objectives_Course_2__Sample_Based_Learning_Methods_Learning_Objectives.pdf | 83.14 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/06_read-me-pre-requisites-and-learning-objectives_Fundamentals_of_Reinforcement_Learning__Learning_Objectives.pdf | 64.66 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/01_welcome-to-the-course/01_course-introduction/03_read-me-pre-requisites-and-learning-objectives_Prediction_and_Control_with_Function_Approximation_Learning_Objectives.pdf | 59.93 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/04_pre-requisites-and-learning-objectives_A_Complete_Reinforcement_Learning_System_Capstone__Learning_Objectives.pdf | 56.79 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/04_weekly-assessment/02_graded-value-functions-and-bellman-equations_exam.html | 31.06 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/04_control-with-approximation/03_average-reward/02_satinder-singh-on-intrinsic-rewards.en.srt | 20.96 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/03_markov-decision-processes/02_goal-of-reinforcement-learning/02_michael-littman-the-reward-hypothesis.en.srt | 18.48 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/03_temporal-difference-learning-methods-for-prediction/02_advantages-of-td/03_andy-barto-and-rich-sutton-more-on-the-history-of-rl.en.srt | 15.92 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/03_milestone-2-choosing-the-right-algorithm/02_project-resources/03_lets-review-average-reward-a-new-way-of-formulating-control-problems.en.srt | 15.17 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/04_control-with-approximation/03_average-reward/01_average-reward-a-new-way-of-formulating-control-problems.en.srt | 15.17 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/03_exploration-vs-exploitation-tradeoff/04_jonathan-langford-contextual-bandits-for-real-world-reinforcement-learning.en.srt | 14.04 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/01_policy-evaluation-prediction/04_iterative-policy-evaluation.en.srt | 13.68 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/02_meet-your-instructors.en.srt | 13.43 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/04_off-policy-learning-for-prediction/04_emma-brunskill-batch-reinforcement-learning.en.txt | 13.16 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/02_milestone-1-formalize-word-problem-as-mdp/01_final-project-milestone-1/02_andy-barto-on-what-are-eligibility-traces-and-why-are-they-so-named.en.srt | 12.5 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/03_optimality-optimal-policies-value-functions/01_optimal-policies.en.srt | 12.16 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/03_warren-powell-approximate-dynamic-programming-for-fleet-management-short.en.srt | 12.06 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/03_markov-decision-processes/02_goal-of-reinforcement-learning/02_michael-littman-the-reward-hypothesis.en.txt | 11.58 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/02_on-policy-prediction-with-approximation/03_the-objective-for-td/03_doina-precup-building-knowledge-for-ai-agents-with-reinforcement-learning.en.srt | 11.34 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/04_control-with-approximation/03_average-reward/01_average-reward-a-new-way-of-formulating-control-problems.en.txt | 9.43 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/03_milestone-2-choosing-the-right-algorithm/02_project-resources/03_lets-review-average-reward-a-new-way-of-formulating-control-problems.en.txt | 9.43 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/05_milestone-4-implement-your-agent/02_project-resources/05_martin-riedmiller-on-the-collect-and-infer-framework-for-data-efficient-rl.en.srt | 8.17 KiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/05_planning-learning-acting/01_what-is-a-model/04_comparing-sample-and-distribution-models.mp4 | 6.65 MiB |
| .pad/161 | 363.22 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/02_monte-carlo-for-control/01_using-monte-carlo-for-action-values.mp4 | 6.47 MiB |
| .pad/162 | 544.45 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/03_expected-sarsa/01_expected-sarsa.mp4 | 6.26 MiB |
| .pad/163 | 752.7 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/03_milestone-2-choosing-the-right-algorithm/02_project-resources/01_lets-review-expected-sarsa.mp4 | 6.26 MiB |
| .pad/164 | 752.7 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/01_td-for-control/04_sarsa-in-the-windy-grid-world.mp4 | 5.85 MiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/03_expected-sarsa/02_expected-sarsa-in-the-cliff-world.mp4 | 5.69 MiB |
| .pad/166 | 318.59 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/03_markov-decision-processes/03_continuing-tasks/03_week-2-summary.mp4 | 5.42 MiB |
| .pad/167 | 592.56 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/03_expected-sarsa/03_generality-of-expected-sarsa.mp4 | 5.21 MiB |
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| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/02_monte-carlo-for-control/02_using-monte-carlo-methods-for-generalized-policy-iteration.mp4 | 5.17 MiB |
| .pad/169 | 847.62 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/05_planning-learning-acting/05_course-wrap-up/01_congratulations.mp4 | 4.36 MiB |
| .pad/170 | 658.17 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/05_planning-learning-acting/04_dealing-with-inaccurate-models/04_week-4-summary.mp4 | 4.25 MiB |
| .pad/171 | 764.29 KiB |
| [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/03_expected-sarsa/04_week-3-summary.mp4 | 3.68 MiB |
