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Hi thanks for the questions! It's reasonable that the end steps for all episodes is 25 (I believe the max number of steps is set to 25 by default, and it can remain 25 even if you enable early stopping when the goal is achieved). As for the difference between test_reward
and test_bench/step_reward
, it's due to two major differences. First, the reward and benchmark loggers log things a little bit differently: (as far as I remember from my notes) the reward logger resets at the end of each episode whereas the benchmark logger resets only once at the collector's init(), so the trends can be different. Second, the test_bench/step_reward
additionally divides the episode reward by the number of steps in each episode (i.e. avg reward per step). Please check the code for the reward and benchmark logger as well as offpolicy_trainer
for your own understanding, and feel free to write your own logger for your purposes! Lmk if you have any other questions, thanks!
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