Introduction to RL. Multiarmed bandits

Question 1

Reinforcement Learning is both a class of ___ and a class of ___

Answer 1

problems

algorithms

Question 2

Policy

Answer 2

Mapping between what the agent is seing and what the agent chooses to do

Question 3

Rewards

Answer 3

(immediate )nomerical single that provides the agent what good or bad actions are
Agent goal is to get as much reward as possible

Question 4

Value Functions

Answer 4

Long term functions of reward

We need to see if the agent lives that long on the long term

Question 5

Models

Answer 5

(of the problem/environment)

Question 6

State

Answer 6

represents the relevant information to solve the task

Question 7

Actions

Answer 7

what the agent can do

Question 8

Goal

Answer 8

Draws the behaviour of the agent (rewards)

Question 9

Dynamics

Answer 9

Describe how the actions of the agent influence the environment

Question 10

The agent does not know the ___ and the ___

Answer 10

Goal

Dynamics

Question 11

The agent showld interact with (or explore / exploit) the environment and figure out what the goal is and the dynamic is

Answer 11

…