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ReplayBurnTensors

thrust_rl::buffer::replay

Struct ReplayBurnTensors 

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pub struct ReplayBurnTensors<B: Backend> {
    pub observations: Tensor<B, 2>,
    pub actions: Tensor<B, 1, Int>,
    pub rewards: Tensor<B, 1>,
    pub next_observations: Tensor<B, 2>,
    pub dones: Tensor<B, 1>,
}
Expand description

Bundle of Burn tensors produced by ReplayBatch::to_burn_tensors.

Fields are in the order DQN trainers consume them: state and action first, then the reward signal, then the bootstrap state and terminal mask used to build the TD target. Fields are named so downstream patches that add fields stay source-compatible.

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§observations: Tensor<B, 2>

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

§actions: Tensor<B, 1, Int>

Discrete actions, shape [batch], dtype i64.

§rewards: Tensor<B, 1>

Rewards, shape [batch], dtype f32.

§next_observations: Tensor<B, 2>

Bootstrap-state observations, shape [batch, obs_dim], dtype f32.

§dones: Tensor<B, 1>

Episode-terminal mask (0.0 or 1.0), shape [batch], dtype f32. Kept as f32 so the TD-target formula (1 - done) works directly.

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