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algorithm_config_cpbmorl.json
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1857 lines (1716 loc) · 80.5 KB
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{
"ffmo_new---": {
"name": "FireFightersMO-v0",
"n_values": 2,
"values_names": ["Professionalism", "Proximity"],
"values_short_names": ["Prof", "Prox"],
"horizon": 30,
"assume_variable_horizon": false,
"basic_profiles": [[1.0, 0.0], [0.0,1.0]],
"profiles_colors": [[1,0,0], [0,0,1]],
"feature_selection": "features_one_hot",
"initial_state_distribution": "fixed",
"environment_is_stochastic": false,
"discount": 1.0,
"default_reward_net": {
"use_state": true,
"use_action": true,
"use_next_state": false,
"use_done": false,
"basic_layer_classes": ["nn.Linear", "nn.Linear", "nn.Linear", "ConvexAlignmentLayer"],
"activations": ["nn.Tanh", "nn.Tanh", "nn.Tanh", "nn.Identity"],
"use_bias": [true, true, true, false],
"hid_sizes": [128, 128, 128],
"negative_grounding_layer": false,
"clamp_rewards": false,
"normalize_output": true
},
"reward_feature_extractor": "BaseRewardFeatureExtractor",
"_options_for_feature_extractors": ["BaseRewardFeatureExtractor", "ObservationMatrixFeatureExtractor"],
"default_optimizer_kwargs": {
"lr": 0.01,
"weight_decay": 0.0000
},
"default_optimizer_class": "lagrange",
"algorithm_config": {
"cpbmorl": {
"debug_mode": true,
"reward_net": {},
"default_wrappers": [
{
"type": "FlattenObservation",
"kwargs": {}
}
],
"discount_factor": 1.0,
"expert_policy_class": "ppo_learner",
"expert_policy_kwargs": {
"envelope":{
"eval_extra_wrappers": [],
"train_extra_wrappers": [],
"__vectorizer": {
"type": "DummyVecEnv",
"kwargs": {
"num_envs": 5
}
},
"train_kwargs": {
"total_timesteps": 120000,
"ref_point": [-50, -50],
"known_pareto_front": "[[4.6, 5.4],[5.7, 5.3],[5.9, 5.1],[6.7, 5. ],[6.8, 4.6],[7.6, 4.5],[7.8, 4. ]]",
"num_eval_weights_for_front": 50,
"num_eval_episodes_for_front": 50,
"eval_freq": 10000,
"reset_num_timesteps": false,
"reset_learning_starts": false,
"verbose": true
},
"max_grad_norm": 0.1,
"learning_rate": 0.0005,
"gamma": 0.999,
"num_sample_w": 11,
"batch_size": 32,
"net_arch": [256, 128, 128, 128],
"buffer_size": 100000,
"initial_epsilon": 0.5,
"final_epsilon": 0.0,
"epsilon_decay_steps": 100000,
"initial_homotopy_lambda": 0.0,
"final_homotopy_lambda": 1.0,
"homotopy_decay_steps": 100000,
"learning_starts": 1000,
"envelope": true,
"gradient_updates": 1,
"target_net_update_freq": 1500,
"tau": 1,
"experiment_name": "envelopeFF_expert"
}
},
"learning_policy_class": "EnvelopeClusteredPBMORL",
"learning_policy_kwargs": {
"EnvelopeClusteredPBMORL":{
"eval_extra_wrappers": [],
"train_extra_wrappers": [],
"train_kwargs": {
"total_timesteps": 150000,
"qualitative_preferences": true,
"ref_point": [-50, -50],
"known_pareto_front": "[[4.6, 5.4],[5.7, 5.3],[5.9, 5.1],[6.7, 5. ],[6.8, 4.6],[7.6, 4.5],[7.8, 4. ]]",
"num_eval_weights_for_front": 22,
"num_eval_episodes_for_front": 50,
"eval_freq": 1000000,
"reset_num_timesteps": false,
"reset_learning_starts": false,
"verbose": true
},
"per": true,
"per_alpha": 0.6,
"estimated_horizon": 30,
"buffer_with_weights": true,
"max_grad_norm": 1.0,
"learning_rate": 0.0005,
"gamma": 1.0,
"num_sample_w": 10,
"batch_size": 256,
"net_arch": [128, 128,128],
"buffer_size": 50000,
"initial_epsilon": 0.7,
"final_epsilon": 0.05,
"epsilon_decay_steps": 150000,
"initial_homotopy_lambda": 0.05,
"final_homotopy_lambda": 0.7,
"homotopy_decay_steps": 150000,
"learning_starts": 500,
"envelope": true,
"gradient_updates": 1,
"target_net_update_freq": 1500,
"tau": 0.0001,
"experiment_name": "envelopeFF_learner"
}
},
"optimizer_kwargs": {
"lr": 0.0001,
"lr_grounding": 0.0001,
"lr_value_system": 0.0005,
"lr_lambda": 0.05,
"initial_lambda": 1.0,
"weight_decay": 0.0001,
"max_grad_norm": 1.0,
"lambda_decay": 0.00005
},
"optimizer_class": "lagrange",
"learn_stochastic_policy": true,
"loss_class": "lagrange",
"n_rewards_for_ensemble": 1,
"loss_kwargs": {
"model_indifference_tolerance": 0.05,
"gr_apply_on_misclassified_pairs_only": false,
"vs_apply_on_misclassified_pairs_only": false,
"confident_penalty": 5.0,
"cluster_similarity_penalty": 1.0,
"conciseness_penalty_reduction": "mean",
"missclassification_min_weighting": 1.0,
"per_agent": true,
"label_smoothing": 0.0},
"_loss_class_options": ["cross_entropy_cluster", "soba", "lagrange"],
"train_kwargs": {
"max_iter": 100,
"discount_factor_preferences": 1.0,
"H": null,
"K": 500,
"Ns": 300,
"Nw": 10,
"static_weights": true,
"use_running_dataset_in_assignment": false,
"initial_reward_learning_iterations": 25,
"max_reward_buffer_size": 120000,
"batch_size_per_agent": 50,
"em_cycles_per_iteration": 2,
"lexicographic_vs_first": true,
"m_steps_per_cycle": 2,
"max_assignment_memory": 5,
"mutation_prob": 0.1,
"initial_m_steps_per_cycle": 2,
"mutation_scale": 0.1,
"initial_exploration_rate": 0.25,
"policy_train_kwargs": {
}
}
}
}
},
"ffmo": {
"name": "FireFightersMO-v0",
"n_values": 2,
"values_names": ["Professionalism", "Proximity"],
"values_short_names": ["Prof", "Prox"],
"horizon": 30,
"assume_variable_horizon": false,
"basic_profiles": [[1.0, 0.0], [0.0,1.0]],
"profiles_colors": [[1,0,0], [0,0,1]],
"feature_selection": "features_one_hot",
"initial_state_distribution": "fixed",
"environment_is_stochastic": false,
"discount": 1.0,
"default_reward_net": {
"use_state": true,
"use_action": true,
"use_next_state": false,
"use_done": false,
"basic_layer_classes": ["nn.Linear", "nn.Linear", "nn.Linear", "ConvexAlignmentLayer"],
"activations": ["nn.Tanh", "nn.Tanh", "nn.Tanh", "nn.Identity"],
"use_bias": [true, true, true, false],
"hid_sizes": [128, 128, 128],
"negative_grounding_layer": false,
"clamp_rewards": [-100.0, 100.0],
"normalize_output": false
},
"reward_feature_extractor": "BaseRewardFeatureExtractor",
"_options_for_feature_extractors": ["BaseRewardFeatureExtractor", "ObservationMatrixFeatureExtractor"],
"default_optimizer_kwargs": {
"lr": 0.01,
"weight_decay": 0.0000
},
"default_optimizer_class": "lagrange",
"algorithm_config": {
"cpbmorl": {
"debug_mode": true,
"reward_net": {},
"default_wrappers": [
{
"type": "FlattenObservation",
"kwargs": {}
}
],
"discount_factor": 1.0,
"expert_policy_class": "ppo_learner",
"expert_policy_kwargs": {
"envelope":{
"eval_extra_wrappers": [],
"train_extra_wrappers": [],
"__vectorizer": {
"type": "DummyVecEnv",
"kwargs": {
"num_envs": 5
}
},
"train_kwargs": {
"total_timesteps": 120000,
"ref_point": [-50, -50],
"known_pareto_front": "[[4.6, 5.4],[5.7, 5.3],[5.9, 5.1],[6.7, 5. ],[6.8, 4.6],[7.6, 4.5],[7.8, 4. ]]",
"num_eval_weights_for_front": 50,
"num_eval_episodes_for_front": 50,
"eval_freq": 10000,
"reset_num_timesteps": false,
"reset_learning_starts": false,
"verbose": true
},
"max_grad_norm": 0.1,
"learning_rate": 0.0005,
"gamma": 0.999,
"num_sample_w": 11,
"batch_size": 32,
"net_arch": [256, 128, 128, 128],
"buffer_size": 100000,
"initial_epsilon": 0.5,
"final_epsilon": 0.0,
"epsilon_decay_steps": 100000,
"initial_homotopy_lambda": 0.0,
"final_homotopy_lambda": 1.0,
"homotopy_decay_steps": 100000,
"learning_starts": 1000,
"envelope": true,
"gradient_updates": 1,
"target_net_update_freq": 1500,
"tau": 1,
"experiment_name": "envelopeFF_expert"
}
},
"learning_policy_class": "EnvelopeClusteredPBMORL",
"learning_policy_kwargs": {
"EnvelopeClusteredPBMORL":{
"eval_extra_wrappers": [],
"train_extra_wrappers": [],
"train_kwargs": {
"total_timesteps": 300000,
"qualitative_preferences": true,
"ref_point": [0, 0],
"known_pareto_front": "[[4.6, 5.4],[5.7, 5.3],[5.9, 5.1],[6.7, 5. ],[6.8, 4.6],[7.6, 4.5],[7.8, 4. ]]",
"num_eval_weights_for_front": 50,
"num_eval_episodes_for_front": 50,
"eval_freq": 1000000,
"reset_num_timesteps": false,
"reset_learning_starts": false,
"verbose": true
},
"cluster_weights_in_envelope_prob": 1.0,
"per": true,
"per_alpha": 0.6,
"estimated_horizon": 30,
"buffer_with_weights": true,
"max_grad_norm": 10.0,
"learning_rate": 0.0007,
"gamma": 1.0,
"num_sample_w": 10,
"batch_size": 256,
"net_arch": [128, 128,128],
"buffer_size": 500000,
"initial_epsilon": 0.7,
"final_epsilon": 0.05,
"epsilon_decay_steps": 300000,
"initial_homotopy_lambda": 0.05,
"final_homotopy_lambda": 0.9,
"homotopy_decay_steps": 300000,
"learning_starts": 500,
"envelope": true,
"gradient_updates": 2,
"target_net_update_freq": 1500,
"tau": 0.0001,
"experiment_name": "envelopeFF_learner"
}
},
"optimizer_kwargs": {
"lr": 0.0001,
"lr_grounding": 0.0003,
"lr_value_system": 0.005,
"lr_lambda": 0.05,
"initial_lambda": 1.0,
"weight_decay": 0.0001,
"max_grad_norm": 1000.0,
"lambda_decay": 0.00005
},
"optimizer_class": "lagrange",
"learn_stochastic_policy": true,
"loss_class": "lagrange",
"n_rewards_for_ensemble": 1,
"loss_kwargs": {
"model_indifference_tolerance": 0.05,
"gr_apply_on_misclassified_pairs_only": false,
"vs_apply_on_misclassified_pairs_only": false,
"confident_penalty": 0.0,
"cluster_similarity_penalty": 100.0,
"conciseness_penalty_reduction": "min",
"missclassification_min_weighting": 1.0,
"per_agent": true,
"label_smoothing": 0.0},
"_loss_class_options": ["cross_entropy_cluster", "soba", "lagrange"],
"train_kwargs": {
"max_iter": 100,
"discount_factor_preferences": 1.0,
"static_weights": false,
"H": null,
"K": 500,
"Ns": 300,
"Nw": 10,
"batch_size_in_running_dataset_for_cluster_assignment": 500,
"use_running_dataset_in_assignment": true,
"initial_reward_learning_iterations": "upto:0.85",
"max_reward_buffer_size": 100000,
"batch_size_per_agent": 50,
"em_cycles_per_iteration": 2,
"lexicographic_vs_first": true,
"m_steps_per_cycle": 3,
"max_assignment_memory": 5,
"mutation_prob": 0.1,
"initial_m_steps_per_cycle": 3,
"mutation_scale": 0.1,
"initial_exploration_rate": 0.25,
"policy_train_kwargs": {
}
}
}
}
},
"ffmo_200": {
"name": "FireFightersMO-v0",
"n_values": 2,
"values_names": ["Professionalism", "Proximity"],
"values_short_names": ["Prof", "Prox"],
"horizon": 30,
"assume_variable_horizon": false,
"basic_profiles": [[1.0, 0.0], [0.0,1.0]],
"profiles_colors": [[1,0,0], [0,0,1]],
"feature_selection": "features_one_hot",
"initial_state_distribution": "fixed",
"environment_is_stochastic": false,
"discount": 1.0,
"default_reward_net": {
"use_state": true,
"use_action": true,
"use_next_state": false,
"use_done": false,
"basic_layer_classes": ["nn.Linear", "nn.Linear", "nn.Linear", "ConvexAlignmentLayer"],
"activations": ["nn.Tanh", "nn.Tanh", "nn.Tanh", "nn.Identity"],
"use_bias": [true, true, true, false],
"hid_sizes": [128, 128, 128],
"negative_grounding_layer": false,
"clamp_rewards": false,
"normalize_output": false
},
"reward_feature_extractor": "BaseRewardFeatureExtractor",
"_options_for_feature_extractors": ["BaseRewardFeatureExtractor", "ObservationMatrixFeatureExtractor"],
"default_optimizer_kwargs": {
"lr": 0.01,
"weight_decay": 0.0000
},
"default_optimizer_class": "lagrange",
"algorithm_config": {
"cpbmorl": {
"debug_mode": true,
"reward_net": {},
"default_wrappers": [
{
"type": "FlattenObservation",
"kwargs": {}
}
],
"discount_factor": 1.0,
"expert_policy_class": "ppo_learner",
"expert_policy_kwargs": {
"envelope":{
"eval_extra_wrappers": [],
"train_extra_wrappers": [],
"__vectorizer": {
"type": "DummyVecEnv",
"kwargs": {
"num_envs": 5
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