Upload config.yaml with huggingface_hub
Browse files- config.yaml +143 -0
config.yaml
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algo:
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ddpg:
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params:
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target_update_tau: 0.01
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policy:
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exploration:
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sigma: 0.3
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theta: 0.15
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deterministic_params:
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buffer_batch_size: 32
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min_buffer_size: 10000
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n_train_steps: 500
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qf_lr: 0.0001
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steps_per_epoch: 1
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dqn:
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params:
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clip_gradient: 10
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deterministic_eval: true
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double_q: false
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target_update_freq: 2
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policy:
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exploration:
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decay_ratio: 0.5
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max_epsilon: 1.0
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min_epsilon: 0.05
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general_params:
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discount: 0.99
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package: garage
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policy:
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hidden_sizes:
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- 128
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- 128
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pretrained_policy: null
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ppo:
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params:
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center_adv: false
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tanhnormal: false
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pretrain:
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additional_config: null
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algo_to_pretrain: null
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params:
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episodes_per_batch: 10
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loss: log_prob
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policy_lr: 0.01
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pretrain_algo: rbc
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replay_buffer:
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buffer_size: 200000
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rnd:
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batch_size: 64
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bound_reward_weight: cosine
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bound_reward_weight_initial_ratio: 0.999999
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bound_reward_weight_transient_epochs: 10
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hidden_sizes:
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- 64
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- 64
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intrinsic_reward_weight: 0.0001
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n_train_steps: 32
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output_dim: 128
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predictor_lr: 0.001
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standardize_extrinsic_reward: true
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standardize_intrinsic_reward: true
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sampler:
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n_workers: 16
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type: ray
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train:
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batch_size: 50000
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n_epochs: 100
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steps_per_epoch: 32
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type: ppo
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context:
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disable_logging: false
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experiment_name: null
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log_dir:
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from_keys:
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- microgrid.config.scenario
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- microgrid.methods.set_forecaster.forecaster
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- microgrid.methods.set_module_attrs.battery_transition_model
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- context.seed
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- env.domain_randomization.noise_std
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- algo.ppo.tanhnormal
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- algo.rnd.intrinsic_reward_weight
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parent: /home/ahalev/data/GridRL/paper_experiments
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use_existing_dir: false
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seed: 1
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snapshot_gap: 10
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verbose: 0
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wandb:
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api_key_file: ../../local/wandb_api_key.txt
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group: null
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log_density: 1
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plot_baseline:
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- mpc
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- rbc
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username: ahalev
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env:
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cls: DiscreteMicrogridEnv
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domain_randomization:
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noise_std: 0.01
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relative_noise: true
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forced_genset: null
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net_load:
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slack_module: grid
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use: true
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observation_keys:
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- soc
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- net_load
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- import_price_current
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- import_price_forecast_0
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- import_price_forecast_1
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- import_price_forecast_2
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- import_price_forecast_3
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- import_price_forecast_4
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microgrid:
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attributes:
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reward_shaping_func: !BaselineShaper
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baseline_module: false
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module:
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- grid
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- 0
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config:
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scenario: 4
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methods:
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set_forecaster:
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forecast_horizon: 23
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forecaster: 0.0
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forecaster_increase_uncertainty: true
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forecaster_relative_noise: true
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set_module_attrs:
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battery_transition_model: null
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normalized_action_bounds:
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- 0.0
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- 1.0
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trajectory:
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evaluate:
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final_step: -1
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initial_step: 5840
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trajectory_func: null
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train:
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final_step: 5840
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initial_step: 0
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trajectory_func: !FixedLengthStochasticTrajectory
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trajectory_length: 720
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verbose: 1
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