reagent/reporting/discrete_crr_reporter.py [42:78]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                        (
                            "model_values",
                            agg.FunctionsByActionAggregator(
                                "model_values",
                                actions,
                                {"mean": torch.mean, "std": torch.std},
                            ),
                        ),
                        (
                            "logged_action",
                            agg.ActionCountAggregator("logged_actions", actions),
                        ),
                        (
                            "model_action",
                            agg.ActionCountAggregator("model_action_idxs", actions),
                        ),
                        (
                            "recent_rewards",
                            agg.RecentValuesAggregator("logged_rewards"),
                        ),
                    ],
                    [
                        (
                            f"{key}_tb",
                            agg.TensorBoardActionCountAggregator(key, title, actions),
                        )
                        for key, title in [
                            ("logged_actions", "logged"),
                            ("model_action_idxs", "model"),
                        ]
                    ],
                    [
                        (
                            f"{key}_tb",
                            agg.TensorBoardHistogramAndMeanAggregator(key, log_key),
                        )
                        for key, log_key in [
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



reagent/reporting/discrete_dqn_reporter.py [41:77]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
                        (
                            "model_values",
                            agg.FunctionsByActionAggregator(
                                "model_values",
                                actions,
                                {"mean": torch.mean, "std": torch.std},
                            ),
                        ),
                        (
                            "logged_action",
                            agg.ActionCountAggregator("logged_actions", actions),
                        ),
                        (
                            "model_action",
                            agg.ActionCountAggregator("model_action_idxs", actions),
                        ),
                        (
                            "recent_rewards",
                            agg.RecentValuesAggregator("logged_rewards"),
                        ),
                    ],
                    [
                        (
                            f"{key}_tb",
                            agg.TensorBoardActionCountAggregator(key, title, actions),
                        )
                        for key, title in [
                            ("logged_actions", "logged"),
                            ("model_action_idxs", "model"),
                        ]
                    ],
                    [
                        (
                            f"{key}_tb",
                            agg.TensorBoardHistogramAndMeanAggregator(key, log_key),
                        )
                        for key, log_key in [
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -