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Thomas Simonini
2023-01-04 11:14:36 +01:00
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units/en/unit4/quiz.mdx
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@@ -10,12 +10,12 @@ The best way to learn and [to avoid the illusion of competence](https://www.cour
{
text: "Policy-gradient methods can learn a stochastic policy",
explain: "",
correct: true
correct: true,
},
{
text: "Policy-gradient methods are more effective in high-dimensional action spaces and continuous actions spaces",
explain: "",
correct: true
correct: true,
},
{
text: "Policy-gradient converges most of the time on a global maximum.",
@@ -53,12 +53,12 @@ The best way to learn and [to avoid the illusion of competence](https://www.cour
text: "In Policy-based methods, we can optimize the parameter θ **indirectly** by maximizing the local approximation of the objective function with techniques like hill climbing, simulated annealing, or evolution strategies.",
explain: "",
correct: true,
}
{
text: "In Policy-gradient methods, we optimize the parameter θ **directly** by performing the gradient ascent on the performance of the objective function.",
explain: "",
correct: true
},
},
{
text: "In Policy-gradient methods, we optimize the parameter θ **directly** by performing the gradient ascent on the performance of the objective function.",
explain: "",
correct: true,
},
]}
/>