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2026SEL3-project-Brittle_St.../configs/production_training.yaml

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YAML

# Production Training Configuration
#
# Full-scale training configuration for production runs
# with wandb logging enabled.
# Experiment settings
exp_name: "brittle_star_production_training"
seed: 42
# Tracking
track: true
capture_video: false
wandb_project_name: "PPO-Modularity"
wandb_entity: "SEL3-2026-Groep-4"
# Model saving
save_model: true
checkpoint_frequency: 100 # Save checkpoint every 100 iterations
# Environment settings
num_envs: 512
# Training hyperparameters
total_timesteps: 50000000
num_steps: 256
num_minibatches: 4
update_epochs: 4
learning_rate: 2.5e-4
anneal_lr: true
gamma: 0.99
gae_lambda: 0.95
clip_coef: 0.1
clip_vloss: true
ent_coef: 0.01
vf_coef: 0.5
max_grad_norm: 0.5
target_kl: null
# Hardware
cuda: true
torch_deterministic: true