ML Training Progress
Three Body » Devlog
The metadata associated with the training vid: https://www.youtube.com/watch?v=8oEu9s21-XQ&t=981s
Configs:
behaviors:
threeBody:
trainer_type: ppo
hyperparameters:
batch_size: 128
buffer_size: 2048
learning_rate: 0.0003
beta: 0.01
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: linear
network_settings:
normalize: false
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 0.1
gail:
gamma: 0.99
strength: 0.8
network_settings:
normalize: false
hidden_units: 128
num_layers: 2
vis_encode_type: simple
learning_rate: 0.0003
use_actions: false
use_vail: false
demo_path: Assets/ML-Agents/Demos/threeBodyAgent.demo
keep_checkpoints: 5
max_steps: 200000
time_horizon: 64
summary_freq: 500
behavioral_cloning:
demo_path: Assets/ML-Agents/Demos/threeBodyAgent.demo
steps: 50000
strength: 0.8
samples_per_update: 0
Files
threebody_v3.zip Play in browser
Apr 04, 2022
Leave a comment
Log in with itch.io to leave a comment.