Files
racesm/MLAgents/config/sac/WallJump.yaml
2024-04-20 14:45:47 +02:00

54 lines
1.3 KiB
YAML

behaviors:
BigWallJump:
trainer_type: sac
hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: constant
batch_size: 128
buffer_size: 200000
buffer_init_steps: 0
tau: 0.005
steps_per_update: 20.0
save_replay_buffer: false
init_entcoef: 0.1
reward_signal_steps_per_update: 10.0
network_settings:
normalize: false
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
keep_checkpoints: 5
max_steps: 15000000
time_horizon: 128
summary_freq: 20000
SmallWallJump:
trainer_type: sac
hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: constant
batch_size: 128
buffer_size: 50000
buffer_init_steps: 0
tau: 0.005
steps_per_update: 20.0
save_replay_buffer: false
init_entcoef: 0.1
reward_signal_steps_per_update: 10.0
network_settings:
normalize: false
hidden_units: 256
num_layers: 2
vis_encode_type: simple
reward_signals:
extrinsic:
gamma: 0.99
strength: 1.0
keep_checkpoints: 5
max_steps: 5000000
time_horizon: 128
summary_freq: 20000