AIL722: Difference between revisions
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| credits = 3 | | credits = 3 | ||
| credit_structure = 3-0-0 | | credit_structure = 3-0-0 | ||
| pre_requisites = Any one of ELL409 / ELL784 / AIL701 / AIL721 | | pre_requisites = Any one of [[ELL409]] / [[ELL784]] / [[AIL701]] / [[AIL721]] | ||
| overlaps = ELL729 approx. 50 %. [COL 333, COL341, | | overlaps = [[ELL729]] approx. 50 %. [COL 333, [[COL341]], | ||
}} | }} | ||
== AIL722 : Reinforcement Learning == | == AIL722 : Reinforcement Learning == | ||
/ COL 341 / COL774 COL770, COL774, ELL409, ELL 784, ELL802, ELL888) < 10% Introduction and Basics of RL, Markov Decision Processes (MDPs), Dynamic Programming, Monte Carlo Methods (Prediction), Temporal difference Methods (Prediction), Monte Carlo, TD Method (Control), Monte Carlo, TD Method (Control - cont.), N-step TD, EligibiJity Traces, Model based RL, (Action-)Value Function Approximation, Value Function Approximation, Policy Gradient, Policy Gradient, Misc. Topics. | / COL 341 / [[COL774]] [[COL770]], [[COL774]], [[ELL409]], ELL 784, [[ELL802]], [[ELL888]]) < 10% Introduction and Basics of RL, Markov Decision Processes (MDPs), Dynamic Programming, Monte Carlo Methods (Prediction), Temporal difference Methods (Prediction), Monte Carlo, TD Method (Control), Monte Carlo, TD Method (Control - cont.), N-step TD, EligibiJity Traces, Model based RL, (Action-)Value Function Approximation, Value Function Approximation, Policy Gradient, Policy Gradient, Misc. Topics. | ||
Latest revision as of 16:21, 14 April 2026
| AIL722 | |
|---|---|
| Reinforcement Learning | |
| Credits | 3 |
| Structure | 3-0-0 |
| Pre-requisites | Any one of ELL409 / ELL784 / AIL701 / AIL721 |
| Overlaps | ELL729 approx. 50 %. [COL 333, COL341, |
AIL722 : Reinforcement Learning
/ COL 341 / COL774 COL770, COL774, ELL409, ELL 784, ELL802, ELL888) < 10% Introduction and Basics of RL, Markov Decision Processes (MDPs), Dynamic Programming, Monte Carlo Methods (Prediction), Temporal difference Methods (Prediction), Monte Carlo, TD Method (Control), Monte Carlo, TD Method (Control - cont.), N-step TD, EligibiJity Traces, Model based RL, (Action-)Value Function Approximation, Value Function Approximation, Policy Gradient, Policy Gradient, Misc. Topics.