unilab.algos.torch.common.normalization

Observation normalization for RL training.

Classes

EmpiricalNormalization

Normalize mean and variance of observations using running statistics.
class unilab.algos.torch.common.normalization.EmpiricalNormalization[source]

Bases: Module

Normalize mean and variance of observations using running statistics.

count: torch.Tensor
__init__(shape, device, eps=0.01)[source]

Initialize internal Module state, shared by both nn.Module and ScriptModule.

property mean
property std
forward(x, center=True, update=True)[source]

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

Parameters:
Return type:

Tensor

update(x)[source]
inverse(y)[source]