HW-5-Bandits

Demonstrates algorithms for tackling the multi-armed bandit problem

To run from the command line:

python bandits.py

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
.gitignore		.gitignore
E_Greedy.py		E_Greedy.py
README.md		README.md
Rough Writeup.txt		Rough Writeup.txt
Slots.py		Slots.py
UCB1.py		UCB1.py
bandits.py		bandits.py
cumulative_regret.png		cumulative_regret.png
cumulative_regret_2.png		cumulative_regret_2.png
e_greedy_plays.png		e_greedy_plays.png
e_greedy_regret.png		e_greedy_regret.png
percentage_optimal_plays.png		percentage_optimal_plays.png
percentage_optimal_plays_2.png		percentage_optimal_plays_2.png
plays_c_05.png		plays_c_05.png
plays_c_10.png		plays_c_10.png
plays_c_15.png		plays_c_15.png
regret_c_05.png		regret_c_05.png
regret_c_10.png		regret_c_10.png
regret_c_15.png		regret_c_15.png
results.tex		results.tex
results.txt		results.txt
test_eps.py		test_eps.py
test_ucb1.py		test_ucb1.py
ucb_plays_14.png		ucb_plays_14.png
ucb_regret_14.png		ucb_regret_14.png

Provide feedback