DqnLossInfo is stored in the extras field of the LossInfo instance.

Both td_loss and td_error have a validity mask applied to ensure that no loss or error is calculated for episode boundaries.

td_loss: The weighted TD loss (depends on choice of loss metric and any weights passed to the DQN loss function. td_error: The unweighted TD errors, which are just calculated as:

td_error = td_targets - q_values

These can be used to update Prioritized Replay Buffer priorities.

Note that, unlike td_loss, td_error may contain a time dimension when training with RNN mode. For td_loss, this axis is averaged out.