def metrics(self) -> list:
my_metrics = [<EOL>FramesMetric("<STR_LIT>"),<EOL>FPSMetric("<STR_LIT>"),<EOL>EpisodeRewardMetric('<STR_LIT>'),<EOL>EpisodeRewardMetricQuantile('<STR_LIT>', quantile=<NUM_LIT>),<EOL>EpisodeRewardMetricQuantile('<STR_LIT>', quantile=<NUM_LIT:0.1>),<EOL>EpisodeLengthMetric("<STR_LIT>"),<EOL>]<EOL>return my_metrics + self.algo.metrics() + self.env_roller.metrics()<EOL>
List of metrics to track for this learning process