dqn_random.yaml

mode: eval #train
episode_length: 50
train:
  total_timesteps: 30000
  eval_frequency: 500
  number_prototypes: 10
  seeds:
    - 42
    - 2
    - 3
    - 4
    # - 5
    # - 6
    # - 7
    # - 8
    # - 9
    # - 10
  parameters:
    min_magnitude: 50 
    max_magnitude: 999
    min_angle: 1
    max_angle: 89
run:
  model_folder: 
    - dqn_random_01_29_2024_18_38_56
    - dqn_random_01_30_2024_11_12_47
    - dqn_random_01_31_2024_08_03_14
    - dqn_random_02_01_2024_05_16_23
  seeds: 
    - 42
    - 2
    - 3
    - 4
  # number_prototypes: 10
  runs: 5
  seed: 42