Tau / results /tau_agent_A4_1M /configuration.yaml
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initial model
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default_settings: null
behaviors:
TauAgent:
trainer_type: ppo
hyperparameters:
batch_size: 256
buffer_size: 4096
learning_rate: 3.0e-05
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
checkpoint_interval: 100000
network_settings:
normalize: true
hidden_units: 256
num_layers: 4
vis_encode_type: simple
memory: null
goal_conditioning_type: hyper
deterministic: false
reward_signals:
extrinsic:
gamma: 0.99
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
curiosity:
gamma: 0.995
strength: 0.1
network_settings:
normalize: true
hidden_units: 256
num_layers: 4
vis_encode_type: simple
memory: null
goal_conditioning_type: hyper
deterministic: false
learning_rate: 0.0003
encoding_size: null
init_path: null
keep_checkpoints: 10
even_checkpoints: false
max_steps: 1000000
time_horizon: 256
summary_freq: 10000
threaded: true
self_play: null
behavioral_cloning: null
env_settings:
env_path: .\Build
env_args: null
base_port: 5005
num_envs: 1
num_areas: 1
timeout_wait: 300
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: false
environment_parameters: null
checkpoint_settings:
run_id: tau_agent_sac_A4
initialize_from: null
load_model: false
resume: false
force: true
train_model: false
inference: false
results_dir: results
torch_settings:
device: cuda
debug: false