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folders:
parent_dir: "./results/"
model_name: "sr6_128x4_das_nc"
settings:
game_id: "sfiii3n"
step_ratio: 6
frame_shape: !!python/tuple [128, 128, 1]
continue_game: 0.0
action_space: "discrete"
characters: !!python/tuple ["Ken", "Ryu"]
difficulty: 7
outfits: 2
wrappers_settings:
normalize_reward: true
no_attack_buttons_combinations: true
stack_frames: 4
dilation: 1
add_last_action: true
stack_actions: 12
scale: true
exclude_image_scaling: true
role_relative: true
flatten: true
filter_keys: ["action", "own_health", "opp_health", "own_side", "opp_side", "opp_character", "stage", "timer"]
policy_kwargs:
#net_arch: [{ pi: [64, 64], vf: [32, 32] }]
net_arch: [64, 64]
ppo_settings:
gamma: 0.94
model_checkpoint: "600000" # 0: No checkpoint, else: Load checkpoint (if previously trained)
learning_rate: [2.5e-4, 2.5e-6] # To start
clip_range: [0.15, 0.025] # To start
#learning_rate: [5.0e-5, 2.5e-6] # Fine Tuning
#clip_range: [0.075, 0.025] # Fine Tuning
batch_size: 512 #8 #nminibatches gave different batch size depending on the number of environments: batch_size = (n_steps * n_envs) // nminibatches
n_epochs: 4
n_steps: 512
autosave_freq: 50000
time_steps: 750000 |