GitHub - SCBenson/ReinforcementLearning: Single-Agent Deep-Q Learning: Exploratory versus Greedy polices for the traversal of a randomly generated 2-D labyrinth.

SCBenson / ReinforcementLearning Public

Single-Agent Deep-Q Learning: Exploratory versus Greedy polices for the traversal of a randomly generated 2-D labyrinth.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.DS_Store		.DS_Store
Graphs.png		Graphs.png
Prioritised_GreedyPolicy.png		Prioritised_GreedyPolicy.png
Section_2_Loss_Curve.png		Section_2_Loss_Curve.png
agent.py		agent.py
coursework_specification.pdf		coursework_specification.pdf
enviro.py		enviro.py
greedy_policy.png		greedy_policy.png
learning.png		learning.png
priority.py		priority.py
question2.py		question2.py
random_environment.py		random_environment.py
train.py		train.py
train_and_test.py		train_and_test.py