ML-Agents-Pyramids / configuration.yaml
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default_settings: null
behaviors:
Pyramids:
trainer_type: ppo
hyperparameters:
batch_size: 128
buffer_size: 2048
learning_rate: 0.0001
beta: 0.005
epsilon: 0.15
lambd: 0.95
num_epoch: 5
shared_critic: false
learning_rate_schedule: linear
beta_schedule: linear
epsilon_schedule: linear
checkpoint_interval: 500000
network_settings:
normalize: true
hidden_units: 512
num_layers: 2
vis_encode_type: simple
memory: null
goal_conditioning_type: hyper
deterministic: false
reward_signals:
extrinsic:
gamma: 0.995
strength: 1.0
network_settings:
normalize: false
hidden_units: 128
num_layers: 2
vis_encode_type: simple
memory: null
goal_conditioning_type: hyper
deterministic: false
rnd:
gamma: 0.99
strength: 0.05
network_settings:
normalize: false
hidden_units: 128
num_layers: 2
vis_encode_type: simple
memory: null
goal_conditioning_type: hyper
deterministic: false
learning_rate: 5.0e-05
encoding_size: null
init_path: null
keep_checkpoints: 5
even_checkpoints: false
max_steps: 3000000
time_horizon: 512
summary_freq: 30000
threaded: false
self_play: null
behavioral_cloning: null
env_settings:
env_path: ./training-envs-executables/linux/Pyramids/Pyramids
env_args: null
base_port: 5005
num_envs: 1
num_areas: 1
timeout_wait: 60
seed: -1
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
no_graphics_monitor: false
environment_parameters: null
checkpoint_settings:
run_id: Pyramids Training
initialize_from: null
load_model: false
resume: false
force: false
train_model: false
inference: false
results_dir: results
torch_settings:
device: null
debug: false