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Fix "learning" typo in bandits-101.ipynb (#1661)
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xtagon authored Dec 6, 2024
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"source": [
"River has a `bandit` module. It contains several multi-armed bandit policies, bandit environments, and utilities to benchmark policies on bandit problems.\n",
"\n",
"Bandit environments in River implement the [Gym](https://www.gymlibrary.dev/) interface. You can thus load them with `gym.make`. Note that Gym is intended for reinforcement learning algorithms, while bandit policies are the simplest form of reinforcement learing. Bandit policies learn by receiving a reward after each step, while reinforcement learning algorithms have to learn from feedback that may arrive at the end of a (long) sequence of steps."
"Bandit environments in River implement the [Gym](https://www.gymlibrary.dev/) interface. You can thus load them with `gym.make`. Note that Gym is intended for reinforcement learning algorithms, while bandit policies are the simplest form of reinforcement learning. Bandit policies learn by receiving a reward after each step, while reinforcement learning algorithms have to learn from feedback that may arrive at the end of a (long) sequence of steps."
]
},
{
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