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RolloutBurnTensors

Struct RolloutBurnTensors 

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pub struct RolloutBurnTensors<B: Backend> {
    pub observations: Tensor<B, 2>,
    pub actions: Tensor<B, 1, Int>,
    pub old_log_probs: Tensor<B, 1>,
    pub old_values: Tensor<B, 1>,
    pub advantages: Tensor<B, 1>,
    pub returns: Tensor<B, 1>,
}
Expand description

Bundle of Burn tensors produced by RolloutBatch::to_burn_tensors.

Fields are in the order PPO trainers consume them: policy/value inputs first (observations, actions), then the old policy outputs (log-probs and values used for the importance ratio and value clip), then the GAE outputs (advantages and returns). Generic over the backend B so the same trainer surface works for CPU (NdArray), GPU (Wgpu, Cuda), and Autodiff<_> wrappers.

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§observations: Tensor<B, 2>

Observations, shape [batch_size, obs_dim], dtype f32.

§actions: Tensor<B, 1, Int>

Discrete actions, shape [batch_size], dtype i64.

§old_log_probs: Tensor<B, 1>

Behavior-policy log-probabilities, shape [batch_size], dtype f32.

§old_values: Tensor<B, 1>

Behavior-policy value estimates V(s_t), shape [batch_size], dtype f32.

§advantages: Tensor<B, 1>

GAE advantages, shape [batch_size], dtype f32.

§returns: Tensor<B, 1>

Value-function targets (advantages + values), shape [batch_size], dtype f32.

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impl<B: Debug + Backend> Debug for RolloutBurnTensors<B>

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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