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César Rodríguez
2023-02-05 19:57:05 +01:00
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units/en/unit2/hands-on.mdx
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@@ -369,7 +369,7 @@ def epsilon_greedy_policy(Qtable, state, epsilon):
```
## Define the hyperparameters ⚙️
The exploration related hyperparamters are some of the most important ones.
The exploration related hyperparameters are some of the most important ones.
- We need to make sure that our agent **explores enough of the state space** to learn a good value approximation. To do that, we need to have progressive decay of the epsilon.
- If you decrease epsilon too fast (too high decay_rate), **you take the risk that your agent will be stuck**, since your agent didn't explore enough of the state space and hence can't solve the problem.