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All assignments are due on Fridays at 5pm
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Reading
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25-SepOverview1
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26-SepProblem session: Probability review, Julia, Project 0, etc. (Jeremy)
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27-SepProbabilistic Representations2.1
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28-Sep
Due: Project 0 (but you can have until 5pm on Oct 5 if needed)
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2-OctProbabilistic Inference2.2
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3-OctProblem session: Projects, Bayesian Networks, etc. (Jeremy)
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4-OctParameter and Structure Learning2.3-2.4
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5-OctDue: Project proposal
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9-OctDecision Theory and Games3
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10-OctProblem session: Midterm 1 review session (Mykel)
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11-OctMarkov Decision Processes4.1-4.3
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12-OctDue: Midterm 1 cheat sheet (not submitted or graded)
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16-OctMidterm 1 (in class, location CMEX)Covers 2-3
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17-OctProblem session: Bayesian Networks, Project 1, etc. (Shushman)
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18-OctApproximate Dynamic Programming4.5-4.7
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19-OctDue: Project 1
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23-OctExploration and Exploitation5.1
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24-OctProblem session: MDPs, Project 2, etc. (Shushman)
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25-OctModel-Based Reinforcement Learning5.2-5.3
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26-OctDue: Midterm course feedback (not graded)
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30-OctModel-Free Reinforcement Learning5.4-5.5
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31-OctProblem session: Midterm 2 review session (Mykel)
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1-NovState Uncertainty6.1-6.2
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2-NovDue: Midterm 2 cheat sheet (not submitted or graded)
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6-NovMidterm 2 (in class, location Hewlett 200)Covers 4-5
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7-NovProblem session: POMDPs.jl, state estimation, etc. (Louis)
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8-NovExact POMDP Methods6.3
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9-NovDue: Project 2
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13-NovOffline POMDP Methods6.4
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14-NovProblem session: Midterm 3 review (Louis)
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15-NovOnline POMDP Methods6.5
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Nov 16Due: Final project status update
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20-NovNo class: Thanksgiving
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22-NovNo class: Thanksgiving
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23-Nov
Due: Feel happy about what we have learned (not directly graded)
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27-NovHierarchical Planning (Shushman)
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29-NovDeep Reinforcement Learning (Jeremy)
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30-NovDue: Midterm 3 takehomeCovers 6
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4-DecApplications
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6-DecNo class: work on final project
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7-DecDue: Final project paper
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11-DecNo class: finals week
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13-DecNo class: finals week
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14-DecDue: Peer review
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