diff --git a/examples/atari/atari_dqn_hl.py b/examples/atari/atari_dqn_hl.py
index fc0483f..b4ae0dd 100644
--- a/examples/atari/atari_dqn_hl.py
+++ b/examples/atari/atari_dqn_hl.py
@@ -4,6 +4,10 @@ import os
 
 from jsonargparse import CLI
 
+from examples.atari.atari_callbacks import (
+    TestEpochCallbackDQNSetEps,
+    TrainEpochCallbackNatureDQNEpsLinearDecay,
+)
 from examples.atari.atari_network import (
     IntermediateModuleFactoryAtariDQN,
     IntermediateModuleFactoryAtariDQNFeatures,
@@ -18,12 +22,6 @@ from tianshou.highlevel.params.policy_params import DQNParams
 from tianshou.highlevel.params.policy_wrapper import (
     PolicyWrapperFactoryIntrinsicCuriosity,
 )
-from tianshou.highlevel.trainer import (
-    TrainerEpochCallbackTest,
-    TrainerEpochCallbackTrain,
-    TrainingContext,
-)
-from tianshou.policy import DQNPolicy
 from tianshou.utils import logging
 from tianshou.utils.logging import datetime_tag
 
@@ -78,24 +76,6 @@ def main(
         scale=scale_obs,
     )
 
-    class TrainEpochCallback(TrainerEpochCallbackTrain):
-        def callback(self, epoch: int, env_step: int, context: TrainingContext) -> None:
-            policy: DQNPolicy = context.policy
-            logger = context.logger
-            # nature DQN setting, linear decay in the first 1M steps
-            if env_step <= 1e6:
-                eps = eps_train - env_step / 1e6 * (eps_train - eps_train_final)
-            else:
-                eps = eps_train_final
-            policy.set_eps(eps)
-            if env_step % 1000 == 0:
-                logger.write("train/env_step", env_step, {"train/eps": eps})
-
-    class TestEpochCallback(TrainerEpochCallbackTest):
-        def callback(self, epoch: int, env_step: int, context: TrainingContext) -> None:
-            policy: DQNPolicy = context.policy
-            policy.set_eps(eps_test)
-
     builder = (
         DQNExperimentBuilder(env_factory, experiment_config, sampling_config)
         .with_dqn_params(
@@ -107,8 +87,10 @@ def main(
             ),
         )
         .with_model_factory(IntermediateModuleFactoryAtariDQN())
-        .with_trainer_epoch_callback_train(TrainEpochCallback())
-        .with_trainer_epoch_callback_test(TestEpochCallback())
+        .with_trainer_epoch_callback_train(
+            TrainEpochCallbackNatureDQNEpsLinearDecay(eps_train, eps_train_final),
+        )
+        .with_trainer_epoch_callback_test(TestEpochCallbackDQNSetEps(eps_test))
         .with_trainer_stop_callback(AtariStopCallback(task))
     )
     if icm_lr_scale > 0: