Fix "learning" typo in bandits-101.ipynb

docs/recipes/bandits-101.ipynb

@@ -15,7 +15,7 @@
    "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."
    ]
   },
   {