MultiCategorical

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---

Multi-categorical distribution for sampling actions for 'MultiDiscrete' tasks.

Methods:

.probs

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.probs()

---

Return probabilities.

.logits

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.logits()

---

Returns the unnormalized log probabilities.

.sample

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.sample(
   sample_shape: th.Size = th.Size()
)

---

Generates a sample_shape shaped sample or sample_shape shaped batch of samples if the distribution parameters are batched.

Args

• sample_shape (th.Size) : The size of the sample to be drawn.

Returns

A sample_shape shaped sample.

.log_prob

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.log_prob(
   actions: th.Tensor
)

---

Returns the log of the probability density/mass function evaluated at actions.

Args

• actions (th.Tensor) : The actions to be evaluated.

Returns

The log_prob value.

.entropy

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.entropy()

---

Returns the Shannon entropy of distribution.

.mode

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.mode()

---

Returns the mode of the distribution.

.mean

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.mean()

---

Returns the mean of the distribution.