config/experiment/hipbmdp.yaml [3:22]:
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builder:
  _target_: mtrl.experiment.${experiment.name}.Experiment
init_steps: 1500
num_train_steps: 1000000
eval_freq: 10000 # same as save frequency. This should be a muliple of save.buffer.size_per_chunk
num_eval_episodes: 10
should_resume: True
save:
  model:
    retain_last_n: 1
    # setting a natural number (say 5) retains the last n (say 5) models.
    # setting -1 retains all the models.
    # setting 0 retains no models.
  buffer:
    should_save: True
    size_per_chunk: 10000
    num_samples_to_save: -1 # number of samples to save. Set to -1 to save all samples
save_dir: ${setup.save_dir}
save_video: False
envs_to_exclude_during_training:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



config/experiment/mtrl.yaml [3:22]:
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builder:
  _target_: mtrl.experiment.${experiment.name}.Experiment
init_steps: 1500
num_train_steps: 1000000
eval_freq: 10000 # same as save frequency. This should be a muliple of save.buffer.size_per_chunk
num_eval_episodes: 10
should_resume: True
save:
  model:
    retain_last_n: 1
    # setting a natural number (say 5) retains the last n (say 5) models.
    # setting -1 retains all the models.
    # setting 0 retains no models.
  buffer:
    should_save: True
    size_per_chunk: 10000
    num_samples_to_save: -1 # number of samples to save. Set to -1 to save all samples
save_dir: ${setup.save_dir}
save_video: False
envs_to_exclude_during_training:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



