ml-agents-dodgeball-env/DodgeBall.yaml

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YAML

behaviors:
DodgeBall:
trainer_type: poca
hyperparameters:
batch_size: 2048
buffer_size: 20480
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: constant
network_settings:
normalize: false
hidden_units: 512
num_layers: 3
vis_encode_type: simple
goal_conditioning_type: none
reward_signals:
extrinsic:
gamma: 0.999
strength: 1.0
keep_checkpoints: 40
checkpoint_interval: 2000000
max_steps: 500000000
time_horizon: 1000
summary_freq: 50000
threaded: false
self_play:
save_steps: 500000
team_change: 1000000
swap_steps: 200000
window: 100
play_against_latest_model_ratio: 0.5
initial_elo: 1200.0
# Enable when training from a build or in the cloud.
# env_settings:
# num_envs: 3