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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: 1
name: difficulty
completion_criteria: null
task:
curriculum:
- value:
sampler_type: constant
sampler_parameters:
seed: 5001
value: 0
name: task
completion_criteria: null
checkpoint_settings:
run_id: DroneBasedReforestation/train/DroneBasedReforestation_difficulty_1_task_0_run_id_2_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