name: DEFAULT

vars:
  foo: bar

slurm:
  name: PerlinExp_Slate_DR# '{config[name]}'
  partitions:
    - SINGLE
  num_parallel_jobs: 50
  cpus_per_task: 1
  mem-per-cpu: 3000
  time: 1440 # in minutes
  ntasks: 1
  sh_lines: ['']

runner: sb3

scheduler:
  total_timesteps: 10000
  repetitions: 3
  agents_per_job: 3
  reps_per_agent: 1

wandb:
  project: '{config[name]}'
  sync_tensorboard: True
  monitor_gym: True
  save_code: False

video:
  enable: True
  length: 3000
  frequency: 100

test:
  enable: False
  length: 3000
  frequency: 100 # 32 # 10
  deterministic: Both
  num_envs: 1

env:
  name: BoxPushingDense-v0
  legacy_fancy: True
  normalize_obs: True
  normalize_rew: True
  num_envs: 1
  env_args:
    more_obs: True

algo:
  name: PPO
  policy_name: MlpPolicy
  n_steps: 4096
  vf_coef: 1.0e-5
  learning_rate: 5.0e-5
  batch_size: 512
  action_coef: 0
  ent_coef: 0
  normalize_advantage: False # True

pca:
  enable: False
  window: 64
  skip_conditioning: True
  Base_Noise: WHITE
  init_std: 1.0

sweep:
  enable: False
  method: random
  #metric:
  #  goal: minimize
  #  name: score
  parameters:
    algo.learning_rate:
      min: 0.0001
      max: 0.1
---
name: sweep
import: $
sweep.enable: True
scheduler.reps_per_agent: 3
---
name: McNamo
import: :DEFAULT

video:
  length: 10

env:
  env_args:
    more_obs: False

algo.name: TRPL
leaf: False
---
name: Leaf

vars:
  leaf: True
---
name: Weird
import: :McNamo,:Leaf

leaf: True
---
name: Test_BaseTest
project: JustTesting
runner: printConfig
wandb:
    group: 'base'
    job_type: '{delta_desc}'
---
name: Test_Sweep
project: JustTesting
runner: printConfig
scheduler:
  repetitions: 16
wandb:
    group: 'sweep'
    job_type: '{delta_desc}'
A: 'dA'
B: 'dB'
C: 'dC'
grid:
  A: ['gA1', 'gA2']
  # B: ['gB1', 'gB2']
ablative:
  C: ['aC1', 'aC2']