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trainer_config.yaml
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trainer_config.yaml
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default:
trainer: ppo
batch_size: 1024
beta: 5.0e-3
buffer_size: 10240
epsilon: 0.2
hidden_units: 128
lambd: 0.95
learning_rate: 3.0e-4
learning_rate_schedule: linear
max_steps: 5.0e5
memory_size: 128
normalize: false
num_epoch: 3
num_layers: 2
time_horizon: 64
sequence_length: 64
summary_freq: 10000
use_recurrent: false
vis_encode_type: simple
reward_signals:
extrinsic:
strength: 1.0
gamma: 0.99
# Reach Target Brains
ReachTarget_0:
normalize: true
num_epoch: 3
time_horizon: 1000
batch_size: 2048
buffer_size: 20480
max_steps: 2e6
summary_freq: 30000
num_layers: 3
hidden_units: 512
ReachTarget_1:
normalize: true
num_epoch: 3
time_horizon: 1000
batch_size: 2048
buffer_size: 20480
max_steps: 2e6
summary_freq: 30000
num_layers: 3
hidden_units: 512
ReachTarget_2:
normalize: true
num_epoch: 3
time_horizon: 1000
batch_size: 2048
buffer_size: 20480
max_steps: 2e6
summary_freq: 30000
num_layers: 3
hidden_units: 512
ReachTarget_3:
normalize: true
num_epoch: 3
time_horizon: 1000
batch_size: 2048
buffer_size: 20480
max_steps: 2e6
summary_freq: 30000
num_layers: 3
hidden_units: 512
ReachTarget_4:
normalize: true
num_epoch: 3
time_horizon: 1000
batch_size: 2048
buffer_size: 20480
max_steps: 2e6
summary_freq: 30000
num_layers: 3
hidden_units: 512