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This repository has been archived by the owner on Feb 24, 2022. It is now read-only.
Given that the agent is driving randomly, does the rate of reliabilty make sense?
Should be
Given that the agent is driving randomly, does the rate of reliability make sense?
Question 5
Given what you know about the evironment and how it is simulated,
Should be
Given what you know about the environment and how it is simulated,
Improve Q-Learning Driving Agent
(the default threshold is 0.01)
Should be
(the default threshold is 0.05) - as written in line 111 of smartcab/simulator.py
When improving on your Q-Learning implementation, consider the impliciations it creates
Should be
When improving on your Q-Learning implementation, consider the implications it creates
Optional: Future Rewards - Discount Factor gamma
Including future rewards in the algorithm is used to aid in propogating positive rewards
Should be
Including future rewards in the algorithm is used to aid in propagating positive rewards
File smartcab/agent.py
def learn()
line 112
receives an award
should be
receives a reward
The text was updated successfully, but these errors were encountered:
File smartcab.ipynb
Question 3
Given that the agent is driving randomly, does the rate of reliabilty make sense?
Should be
Given that the agent is driving randomly, does the rate of reliability make sense?
Question 5
Given what you know about the evironment and how it is simulated,
Should be
Given what you know about the environment and how it is simulated,
Improve Q-Learning Driving Agent
(the default threshold is 0.01)
Should be
(the default threshold is 0.05) - as written in line 111 of smartcab/simulator.py
When improving on your Q-Learning implementation, consider the impliciations it creates
Should be
When improving on your Q-Learning implementation, consider the implications it creates
Optional: Future Rewards - Discount Factor gamma
Including future rewards in the algorithm is used to aid in propogating positive rewards
Should be
Including future rewards in the algorithm is used to aid in propagating positive rewards
File smartcab/agent.py
def learn()
line 112
receives an award
should be
receives a reward
The text was updated successfully, but these errors were encountered: