config.yml

# This file is a template for a new experiment.
# It specifies how the experiment is to be created,
# but does not hold its state.

# Name of the experiment
name: {{experiment_name}}

# A List of hyperparamters to be tuned.
hyperparameters:
  # Each hyperparameter needs to specify:
  #
  #   name: string
  #   type: int/float
  #   bounds: min and max value, both int/float
  - name: x
    type: float
    bounds:
      min: 0.1
      max: 1.1

  - name: y
    type: float
    bounds:
      min: 0.1
      max: 1.1

  - name: num_layers
    type: int
    bounds:
      min: 1
      max: 10

# The runner determines which program is being optimzied.
# It can run either in local mode when jobs are executed
# on the current machine, or on SGE where each evaluation
# is submitted as a separate job.
runner:
  # So far the runner can be either "local" or "sge".
  type: local

  # Module path a parser instance which can read
  # the intermediate and final results of a job.
  #
  # Right now the only valid value is the default one.
  result_parser: bopt.LastLineLastWordParser

  # Path to the program being executed as each job.
  script: "./.venv/bin/python"
  # Optional command line arguments
  args:
    - "experiments/rl/monte_carlo.py"