docs: multi-armed bandit.

package/samplers/multi_armed_bandit/LICENSE

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+MIT License
+
+Copyright (c) 2024 <Ryota Nishijima>
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

package/samplers/multi_armed_bandit/README.md

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+---
+author: Ryota Nishijima
+title: Multi-armed Bandit Sampler
+description: Sampler based on multi-armed bandit algorithm with epsilon-greedy arm selection.
+tags: [sampler, multi-armed bandit]
+optuna_versions: [4.0.0]
+license: MIT License
+---
+
+## Class or Function Names
+
+- MultiArmedBanditSampler
+
+## Example
+
+```python
+mod = optunahub.load_module("samplers/multi_armed_bandit")
+sampler = mod.MultiArmedBanditSampler()
+```
+
+See [`example.py`](https://github.com/optuna/optunahub-registry/blob/main/package/samplers/multi_armed_bandit/example.py) for more details.
+
+## Others
+
+This package provides a sampler based on Multi-armed bandit algorithm with epsilon-greedy selection.

package/samplers/multi_armed_bandit/__init__.py

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+from .YOUR_TEMPLATE import YOUR_FEATURE
+
+
+__all__ = ["YOUR_FEATURE"]