Schedule
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EventDateDescriptionCourse Material
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Lecture09/18/2026
FridayIntroductionSuggested Readings:
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Lecture09/20/2026
SundayBasic Concepts in Reinforcement Learning[slides] -
Lecture10/09/2026
FridayMulti-Armed Bandits[slides] [KDD20 Tutorial] -
Due10/11/2026 23:59
SundayProject Idea Due-
Required content: Sales pitch about your course project idea, especially what makes you excited.
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Purpose: Find your teammates who share the same passion and complementary skills
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Where to submit: Post on our 网络学堂 forum.
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Lecture10/16/2026
FridayMarkov Decision Process[slides] -
Assignment10/16/2026
FridayMP #1 - Bandit Algorithms released! -
Due10/18/2026 23:59
SundayProject Proposal Due-
Required template: You are required to use the latest NeurIPS templates for your project proposal.
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Maximum length: 3 pages, excluding references and appendix.
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Where to submit: A submission page will be created on Xuetang. One group only needs to submit one proposal to collab; and please name your submission as “name[+name]*-proposal.pdf”, for example, “王宏宁-李谷蝉-proposal.pdf”.
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Quiz10/23/2026
FridayQuiz #1 - RL Basics & Bandits[solution]This quiz is designed to cover essential concepts in basic concepts in reinforcement learning and multi-armed bandit.
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Due10/23/2026 23:59
FridayMP #1 due -
Lecture10/30/2026
FridayDynamic Programming -
Assignment10/30/2026
FridayMP #2 - Markov Decision Process released! -
Lecture11/06/2026
FridayMonte Carlo Methods -
Due11/06/2026 23:59
FridayMP #2 due -
Quiz11/13/2026
FridayQuiz #2 - DP & MC[solution]This quiz is designed to cover essential concepts in dynamic programming and Monto Carlo methods.
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Lecture11/13/2026
FridayTemporal-Difference Learning -
Lecture11/27/2026
FridayPolicy Gradient Methods -
Assignment12/04/2026
FridayMP #3 - Temporal difference and policy gradient methods released! -
Quiz12/11/2026
FridayQuiz #3 - TD & PG[solution]This quiz is designed to cover essential concepts in temporal difference method and policy gradient method.
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Lecture12/11/2026
FridayApproximation Methods -
Due12/11/2026 23:59
FridayMP #3 due -
Lecture12/18/2026
FridayDeep Reinforcement Learning -
Assignment12/18/2026
FridayMP #4 - Deep RL methods released! -
Due12/25/2026 15:20
FridayProject Presentation-
Presentation location: 六教A207.
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Presentation length: maximum 10 minutes presentation, including Q&A, given in person.
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Presentation format: any format you prefer, power point slides or live demonstration.
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Quiz12/25/2026
FridayQuiz #4 - Deep RL[solution]This quiz is designed to cover essential concepts in deep reinforcement learning methods.
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Due12/25/2026 23:59
FridayMP #4 due -
Due01/08/2027 23:59
FridayProject Report Due-
Required template: You should use the same template that you have used for your project proposal.
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Maximum length: 6 pages, excluding references and appendix.
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Where to submit: A submission page will be created on Xuetang. One group only needs to one report to 网络学堂; and please name your submission as “name[+name]*-report.pdf”, for example, “王宏宁-李谷蝉-report.pdf”.
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