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Greedy and EpsilonGreedy strategies, using Multi-armed Bandits algorithms #1438

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Greedy and EpsilonGreedy strategies, using Multi-armed Bandits algorithms #1438

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Commits on Mar 16, 2024

  1. added and implemented epsilon_greedy.py

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    bing-j committed Mar 16, 2024
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  2. added and implemented epsilon_greedy.py

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    bing-j committed Mar 16, 2024
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  3. added and implemented epsilon_greedy.py

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    bing-j committed Mar 16, 2024
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  4. epsilon-greedy added to _strategies.py and reference\strategy_index.rst

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    bing-j committed Mar 16, 2024
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  5. Fixed update_rewards() to correctly refer to attributes, added test file

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  6. random test created and passed, basic deterministic tests created and… 

    … passed
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    bing-j committed Mar 16, 2024
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  7. strategy tests completed and passedl; updated docstring to clarify in… 

    …itial behaviour.
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  8. References correctly added and docstring updated with correct Name.

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  9. for extendability: renamed module to armed_bandits, created Greedy su… 

    …perclass of EpsilonGreedy, and implemented option to weigh reward based on recency
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    bing-j committed Mar 16, 2024
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  10. modified UNIFORM to use np.inf instead; fixed EpsilonGreedy.strategy(… 

    …) so that it correctly calls update_rewards() through the parent method; all previous tests passed.
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  11. formatted armed_bandits.py using black.

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Commits on Apr 22, 2024

  1. style changes in docstrings and comments, renamed file to bandits, up… 

    …dated doc test, and changed value of UNIFORM constant to -1.
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    bing-j committed Apr 22, 2024
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  2. modified test file to align with changes. all tests passed!

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    bing-j committed Apr 22, 2024
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