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config.yaml

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+algo:
+  ddpg:
+    params:
+      target_update_tau: 0.01
+    policy:
+      exploration:
+        sigma: 0.3
+        theta: 0.15
+  deterministic_params:
+    buffer_batch_size: 32
+    min_buffer_size: 10000
+    n_train_steps: 500
+    qf_lr: 0.0001
+    steps_per_epoch: 1
+  dqn:
+    params:
+      clip_gradient: 10
+      deterministic_eval: true
+      double_q: false
+      target_update_freq: 2
+    policy:
+      exploration:
+        decay_ratio: 0.5
+        max_epsilon: 1.0
+        min_epsilon: 0.05
+  general_params:
+    discount: 0.99
+  package: garage
+  policy:
+    hidden_sizes:
+    - 128
+    - 128
+    pretrained_policy: null
+  ppo:
+    params:
+      center_adv: false
+    tanhnormal: false
+  pretrain:
+    additional_config: null
+    algo_to_pretrain: null
+    params:
+      episodes_per_batch: 10
+      loss: log_prob
+      policy_lr: 0.01
+    pretrain_algo: rbc
+  replay_buffer:
+    buffer_size: 200000
+  rnd:
+    batch_size: 64
+    bound_reward_weight: null
+    bound_reward_weight_initial_ratio: 0.999999
+    bound_reward_weight_transient_epochs: 10
+    hidden_sizes:
+    - 64
+    - 64
+    intrinsic_reward_weight: 0.01
+    n_train_steps: 32
+    output_dim: 128
+    predictor_lr: 0.001
+    standardize_extrinsic_reward: true
+    standardize_intrinsic_reward: true
+  sampler:
+    n_workers: 16
+    type: ray
+  train:
+    batch_size: 50000
+    n_epochs: 100
+    steps_per_epoch: 32
+  type: ppo
+context:
+  disable_logging: false
+  experiment_name: null
+  log_dir:
+    from_keys:
+    - microgrid.config.scenario
+    - microgrid.methods.set_forecaster.forecaster
+    - microgrid.methods.set_module_attrs.battery_transition_model
+    - context.seed
+    - env.domain_randomization.noise_std
+    - algo.ppo.tanhnormal
+    - algo.rnd.intrinsic_reward_weight
+    parent: /home/ahalev/data/GridRL/paper_experiments
+    use_existing_dir: false
+  seed: 42
+  snapshot_gap: 10
+  verbose: 0
+  wandb:
+    api_key_file: ../../local/wandb_api_key.txt
+    group: null
+    log_density: 1
+    plot_baseline:
+    - mpc
+    - rbc
+    username: ahalev
+env:
+  cls: DiscreteMicrogridEnv
+  domain_randomization:
+    noise_std: 0.01
+    relative_noise: true
+  forced_genset: null
+  net_load:
+    slack_module: grid
+    use: true
+  observation_keys:
+  - soc
+  - net_load
+  - import_price_current
+  - import_price_forecast_0
+  - import_price_forecast_1
+  - import_price_forecast_2
+  - import_price_forecast_3
+  - import_price_forecast_4
+  - import_price_forecast_5
+  - import_price_forecast_6
+  - import_price_forecast_7
+  - import_price_forecast_8
+  - import_price_forecast_9
+  - import_price_forecast_10
+  - import_price_forecast_11
+  - import_price_forecast_12
+  - import_price_forecast_13
+  - import_price_forecast_14
+  - import_price_forecast_15
+  - import_price_forecast_16
+  - import_price_forecast_17
+  - import_price_forecast_18
+  - import_price_forecast_19
+  - import_price_forecast_20
+  - import_price_forecast_21
+  - import_price_forecast_22
+microgrid:
+  attributes:
+    reward_shaping_func: !BaselineShaper
+      baseline_module: false
+      module:
+      - grid
+      - 0
+  config:
+    scenario: 0
+  methods:
+    set_forecaster:
+      forecast_horizon: 23
+      forecaster: 0.0
+      forecaster_increase_uncertainty: true
+      forecaster_relative_noise: true
+    set_module_attrs:
+      battery_transition_model: null
+      normalized_action_bounds:
+      - 0.0
+      - 1.0
+  trajectory:
+    evaluate:
+      final_step: -1
+      initial_step: 5840
+      trajectory_func: null
+    train:
+      final_step: 5840
+      initial_step: 0
+      trajectory_func: !FixedLengthStochasticTrajectory
+        trajectory_length: 720
+verbose: 1