| name | ccd-daif |
| description | Distributional Active Inference — push-forward returns, quantile/IQN updates, VMP/Bethe FE, distributional case assignment, policy G(π), ERP profiles, convergence metrics. Use for manuscript §7c and quantitative DAIF results. |
src/daif/
When to use
- Return distributions, C51-style push-forward, quantile TD / IQN, Wasserstein distances between returns.
- Variational message passing, Bethe free energy, expected information gain.
- Distributional prediction error, N400/P600 from distributions, full
ERPProfile, policy and diagnostics.
Primary imports
from src.daif import (
DistributionalReturn, DAIFResult, ERPProfile,
push_forward_return, distributional_bellman_operator, categorical_return_distribution,
quantile_td_update, implicit_quantile_network_update, wasserstein_return_distance,
distributional_case_assignment, variational_message_passing,
bethe_free_energy, expected_information_gain,
distributional_prediction_error, n400_from_return_distribution,
p600_from_precision_update, erp_amplitude_profile,
G_policy, softmax_policy_selection, distributional_epistemic_value,
convergence_diagnostics, distributional_kl, quantile_coverage,
return_distribution_entropy,
)
Manuscript
§7c (07c_daif_results.md).
See also
