Reinforcement Learning Specialization
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Torrent File Content (699 files)
Reinforcement Learning Specialization
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/04_warren-powell-approximate-dynamic-programming-for-fleet-management-long.mp4 -
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/04_warren-powell-approximate-dynamic-programming-for-fleet-management-long.mp4 -
145.35 MB
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[TutsNode.net] - fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/04_weekly-assessment/01_sequential-decision-making_quiz.html -
210.3 KB
[TutsNode.net] - complete-reinforcement-learning-system
[TutsNode.net] - complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/01_course-4-introduction.en.txt -
[TutsNode.net] - complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/01_course-4-introduction.en.txt -
2.29 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/04_weekly-assessment/01_dynamic-programming_quiz.html -
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/04_weekly-assessment/01_dynamic-programming_quiz.html -
157.49 KB
[TutsNode.net] - sample-based-learning-methods
[TutsNode.net] - 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 -
[TutsNode.net] - 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 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - 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 -
[TutsNode.net] - 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 KB
[TutsNode.net] - prediction-control-function-approximation
[TutsNode.net] - 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 -
[TutsNode.net] - 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 KB
[TutsNode.net] - complete-reinforcement-learning-system
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2.19 KB
[TutsNode.net] - 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 KB
[TutsNode.net] - sample-based-learning-methods
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[TutsNode.net] - sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/04_off-policy-learning-for-prediction/04_emma-brunskill-batch-reinforcement-learning.en.srt -
24.91 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/02_course-introduction.en.txt -
[TutsNode.net] - fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/02_course-introduction.en.txt -
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[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/05_reinforcement-learning-textbook_RLbook2018.pdf -
[TutsNode.net] - fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/05_reinforcement-learning-textbook_RLbook2018.pdf -
85.28 MB
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/04_warren-powell-approximate-dynamic-programming-for-fleet-management-long.en.srt -
40.71 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/04_weekly-assessment/02_graded-value-functions-and-bellman-equations_exam.html -
31.06 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/04_warren-powell-approximate-dynamic-programming-for-fleet-management-long.en.txt -
21.34 KB
[TutsNode.net] - prediction-control-function-approximation
[TutsNode.net] - prediction-control-function-approximation/04_control-with-approximation/03_average-reward/02_satinder-singh-on-intrinsic-rewards.en.srt -
[TutsNode.net] - prediction-control-function-approximation/04_control-with-approximation/03_average-reward/02_satinder-singh-on-intrinsic-rewards.en.srt -
20.96 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/03_markov-decision-processes/02_goal-of-reinforcement-learning/02_michael-littman-the-reward-hypothesis.en.srt -
[TutsNode.net] - fundamentals-of-reinforcement-learning/03_markov-decision-processes/02_goal-of-reinforcement-learning/02_michael-littman-the-reward-hypothesis.en.srt -
18.48 KB
[TutsNode.net] - sample-based-learning-methods
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[TutsNode.net] - 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 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
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[TutsNode.net] - fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/03_meet-your-instructors.en.srt -
15.89 KB
[TutsNode.net] - complete-reinforcement-learning-system
[TutsNode.net] - 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 -
[TutsNode.net] - 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 KB
[TutsNode.net] - complete-reinforcement-learning-system/02_milestone-1-formalize-word-problem-as-mdp/02_project-resources/02_lets-review-examples-of-episodic-and-continuing-tasks.en.txt -
2.52 KB
[TutsNode.net] - prediction-control-function-approximation
[TutsNode.net] - prediction-control-function-approximation/04_control-with-approximation/03_average-reward/01_average-reward-a-new-way-of-formulating-control-problems.en.srt -
[TutsNode.net] - 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 KB
[TutsNode.net] - prediction-control-function-approximation/03_constructing-features-for-prediction/03_training-neural-networks/03_david-silver-on-deep-learning-rl-ai.en.srt -
14.71 KB
[TutsNode.net] - complete-reinforcement-learning-system
[TutsNode.net] - complete-reinforcement-learning-system/03_milestone-2-choosing-the-right-algorithm/01_weekly-learning-goals/01_meeting-with-niko-choosing-the-learning-algorithm.en.txt -
[TutsNode.net] - complete-reinforcement-learning-system/03_milestone-2-choosing-the-right-algorithm/01_weekly-learning-goals/01_meeting-with-niko-choosing-the-learning-algorithm.en.txt -
2.84 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - 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 -
[TutsNode.net] - 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 KB
[TutsNode.net] - prediction-control-function-approximation
[TutsNode.net] - prediction-control-function-approximation/03_constructing-features-for-prediction/03_training-neural-networks/01_gradient-descent-for-training-neural-networks.en.srt -
[TutsNode.net] - prediction-control-function-approximation/03_constructing-features-for-prediction/03_training-neural-networks/01_gradient-descent-for-training-neural-networks.en.srt -
13.98 KB
[TutsNode.net] - complete-reinforcement-learning-system
[TutsNode.net] - complete-reinforcement-learning-system/03_milestone-2-choosing-the-right-algorithm/02_project-resources/01_lets-review-expected-sarsa.en.txt -
[TutsNode.net] - complete-reinforcement-learning-system/03_milestone-2-choosing-the-right-algorithm/02_project-resources/01_lets-review-expected-sarsa.en.txt -
2.8 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/01_policy-evaluation-prediction/04_iterative-policy-evaluation.en.srt -
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/01_policy-evaluation-prediction/04_iterative-policy-evaluation.en.srt -
13.68 KB
[TutsNode.net] - complete-reinforcement-learning-system
[TutsNode.net] - complete-reinforcement-learning-system/06_milestone-5-submit-your-parameter-study/02_project-resources/02_joelle-pineau-about-rl-that-matters.en.srt -
[TutsNode.net] - complete-reinforcement-learning-system/06_milestone-5-submit-your-parameter-study/02_project-resources/02_joelle-pineau-about-rl-that-matters.en.srt -
13.67 KB
[TutsNode.net] - complete-reinforcement-learning-system/03_milestone-2-choosing-the-right-algorithm/02_project-resources/02_lets-review-what-is-q-learning.en.txt -
2.6 KB
[TutsNode.net] - prediction-control-function-approximation
[TutsNode.net] - prediction-control-function-approximation/01_welcome-to-the-course/01_course-introduction/02_meet-your-instructors.en.srt -
[TutsNode.net] - prediction-control-function-approximation/01_welcome-to-the-course/01_course-introduction/02_meet-your-instructors.en.srt -
13.43 KB
[TutsNode.net] - sample-based-learning-methods
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[TutsNode.net] - sample-based-learning-methods/01_welcome-to-the-course/01_course-introduction/02_meet-your-instructors.en.srt -
13.43 KB
[TutsNode.net] - complete-reinforcement-learning-system
[TutsNode.net] - complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/02_meet-your-instructors.en.srt -
[TutsNode.net] - complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/02_meet-your-instructors.en.srt -
13.43 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/02_policy-iteration-control/02_policy-iteration.en.srt -
[TutsNode.net] - fundamentals-of-reinforcement-learning/05_dynamic-programming/02_policy-iteration-control/02_policy-iteration.en.srt -
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[TutsNode.net] - sample-based-learning-methods
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[TutsNode.net] - 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 KB
[TutsNode.net] - prediction-control-function-approximation
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[TutsNode.net] - prediction-control-function-approximation/05_policy-gradient/04_policy-parameterizations/03_gaussian-policies-for-continuous-actions.en.srt -
12.82 KB
[TutsNode.net] - complete-reinforcement-learning-system
[TutsNode.net] - 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 -
[TutsNode.net] - 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 -
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[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/03_exploration-vs-exploitation-tradeoff/01_what-is-the-trade-off.en.srt -
[TutsNode.net] - fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/03_exploration-vs-exploitation-tradeoff/01_what-is-the-trade-off.en.srt -
12.17 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/03_optimality-optimal-policies-value-functions/01_optimal-policies.en.srt -
12.16 KB
[TutsNode.net] - 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 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning/03_markov-decision-processes/04_weekly-assesment/01_mdps_quiz.html -
11.79 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning/03_markov-decision-processes/02_goal-of-reinforcement-learning/02_michael-littman-the-reward-hypothesis.en.txt -
11.58 KB
[TutsNode.net] - prediction-control-function-approximation
[TutsNode.net] - 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 -
[TutsNode.net] - 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 KB
[TutsNode.net] - sample-based-learning-methods
[TutsNode.net] - sample-based-learning-methods/03_temporal-difference-learning-methods-for-prediction/01_introduction-to-temporal-difference-learning/04_rich-sutton-the-importance-of-td-learning.en.srt -
[TutsNode.net] - sample-based-learning-methods/03_temporal-difference-learning-methods-for-prediction/01_introduction-to-temporal-difference-learning/04_rich-sutton-the-importance-of-td-learning.en.srt -
11.24 KB
[TutsNode.net] - prediction-control-function-approximation
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[TutsNode.net] - prediction-control-function-approximation/04_control-with-approximation/03_average-reward/02_satinder-singh-on-intrinsic-rewards.en.txt -
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[TutsNode.net] - prediction-control-function-approximation/05_policy-gradient/04_policy-parameterizations/02_demonstration-with-actor-critic.en.srt -
10.86 KB
[TutsNode.net] - fundamentals-of-reinforcement-learning
[TutsNode.net] - fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/03_optimality-optimal-policies-value-functions/03_using-optimal-value-functions-to-get-optimal-policies.en.srt -
[TutsNode.net] - fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/03_optimality-optimal-policies-value-functions/03_using-optimal-value-functions-to-get-optimal-policies.en.srt -
10.83 KB
[TutsNode.net] - complete-reinforcement-learning-system
[TutsNode.net] - complete-reinforcement-learning-system/04_milestone-3-identify-key-performance-parameters/01_weekly-learning-goals/01_agent-architecture-meeting-with-martha-overview-of-design-choices.en.srt -
+ Show all torrent content...[TutsNode.net] - complete-reinforcement-learning-system/04_milestone-3-identify-key-performance-parameters/01_weekly-learning-goals/01_agent-architecture-meeting-with-martha-overview-of-design-choices.en.srt -
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