- decks
- flashcards
- learners
Decks in this class (11)
0 - Terminology & Definitions
Actions,
Actor critic,
Advantage function
68
cards
1 - Intro
Reinforcement learning is about h...,
The markov assumption assumes tha...,
What is the difference between st...
9
cards
2 - MDP Planning
What is policy iteration,
What is value iteration,
What does p s s a stand for
29
cards
3 - Multi-Armed Bandits
In multiarm bandits what is regre...,
What are we balancing in mab prob...,
How do we calculate reward for mabs
26
cards
4 - Dynamic Programming
Dynamic programming assumes ____ ...,
What is dynamic programming,
Name 4 basic steps to solve a dp ...
8
cards
5 - Monte Carlo
Monte carlo policy evaluation is ...,
Monte carlo assumes __________ on...,
V is ________ biased unbiased est...
6
cards
6 - TD Learning
0
cards
7 - Model Free Control
In your own words what is q s a,
Off policy learning can learn to ...,
What do the letters in sarsa stan...
5
cards
8 - Value Function Approximation
List a couple of advantages of va...,
Neural networks deep learning is ...,
Gradient descent is guaranteed to...
4
cards
9 - Deep RL
Deep neural networks dnn are func...,
The nonlinearity in a dnn is call...,
Why are convolutional neural netw...
9
cards
10 - Policy Optimization
Value function approximation vfa ...,
Policy search typically results i...,
In general one of the biggest rea...
11
cards
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Reinforcement Learning
- Class purpose General learning
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