default_settings: null behaviors: Agent: trainer_type: ppo hyperparameters: batch_size: 1024 buffer_size: 8192 learning_rate: 0.0003 beta: 0.005 epsilon: 0.2 lambd: 0.95 num_epoch: 3 shared_critic: false learning_rate_schedule: linear beta_schedule: linear epsilon_schedule: linear network_settings: normalize: false hidden_units: 128 num_layers: 2 vis_encode_type: resnet memory: null goal_conditioning_type: hyper deterministic: false reward_signals: curiosity: gamma: 0.99 strength: 0.1 network_settings: normalize: false hidden_units: 128 num_layers: 2 vis_encode_type: resnet memory: null goal_conditioning_type: hyper deterministic: false learning_rate: 0.0003 encoding_size: 256 extrinsic: gamma: 0.99 strength: 0.9 network_settings: normalize: false hidden_units: 128 num_layers: 2 vis_encode_type: resnet memory: null goal_conditioning_type: hyper deterministic: false init_path: null keep_checkpoints: 5 checkpoint_interval: 500000 max_steps: 1200000 time_horizon: 8192 summary_freq: 6000 threaded: true self_play: null behavioral_cloning: null env_settings: env_path: c:/users/pdsie/documents/hivex/src/hivex/training/baseline/ml_agents/dev_environments/Hivex_DroneBasedReforestation_win env_args: null base_port: 5007 num_envs: 1 num_areas: 1 seed: 5000 max_lifetime_restarts: 10 restarts_rate_limit_n: 1 restarts_rate_limit_period_s: 60 engine_settings: width: 84 height: 84 quality_level: 5 time_scale: 20 target_frame_rate: -1 capture_frame_rate: 60 no_graphics: true environment_parameters: difficulty: curriculum: - value: sampler_type: constant sampler_parameters: seed: 5000 value: 4 name: difficulty completion_criteria: null task: curriculum: - value: sampler_type: constant sampler_parameters: seed: 5001 value: 1 name: task completion_criteria: null checkpoint_settings: run_id: DroneBasedReforestation/train/DroneBasedReforestation_difficulty_4_task_1_run_id_1_train initialize_from: null load_model: false resume: false force: false train_model: false inference: false results_dir: results torch_settings: device: null debug: false