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Reinforcement Learning

This class was created by Brainscape user Mundy Reimer. Visit their profile to learn more about the creator.

By: Mundy Reimer
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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

More about
Reinforcement Learning

  • Class purpose General learning

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