Smaller fixes, now running.

This commit is contained in:
Steffen Illium
2021-09-07 09:21:23 +02:00
parent 84eb381307
commit d0e1175ff1
7 changed files with 155 additions and 97 deletions

19
main.py
View File

@ -45,8 +45,8 @@ def combine_runs(run_path: Union[str, PathLike]):
value_vars=columns, var_name="Measurement",
value_name="Score")
if df_melted['Episode'].max() > 100:
skip_n = round(df_melted['Episode'].max() * 0.01)
if df_melted['Episode'].max() > 80:
skip_n = round(df_melted['Episode'].max() * 0.02, 2)
df_melted = df_melted[df_melted['Episode'] % skip_n == 0]
prepare_plot(run_path / f'{run_path.name}_monitor_lineplot.png', df_melted)
@ -72,15 +72,18 @@ def compare_runs(run_path: Path, run_identifier: int, parameter: Union[str, List
df = df.fillna(0).rename(columns={'episode': 'Episode', 'run': 'Run', 'model': 'Model'})
columns = [col for col in df.columns if col in parameter]
roll_n = 40
last_episode_to_report = min(df.groupby(['Model'])['Episode'].max())
df = df[df['Episode'] < last_episode_to_report]
roll_n = 40
non_overlapp_window = df.groupby(['Model', 'Run', 'Episode']).rolling(roll_n, min_periods=1).mean()
df_melted = non_overlapp_window[columns].reset_index().melt(id_vars=['Episode', 'Run', 'Model'],
value_vars=columns, var_name="Measurement",
value_name="Score")
if df_melted['Episode'].max() > 100:
skip_n = round(df_melted['Episode'].max() * 0.01)
skip_n = round(df_melted['Episode'].max() * 0.02)
df_melted = df_melted[df_melted['Episode'] % skip_n == 0]
style = 'Measurement' if len(columns) > 1 else None
@ -113,10 +116,10 @@ if __name__ == '__main__':
max_local_amount=1, spawn_frequency=3, max_spawn_ratio=0.05,
dirt_smear_amount=0.0, agent_can_interact=True)
item_props = ItemProperties(n_items=5, agent_can_interact=True)
move_props = MovementProperties(allow_diagonal_movement=False,
move_props = MovementProperties(allow_diagonal_movement=True,
allow_square_movement=True,
allow_no_op=False)
train_steps = 1e5
train_steps = 8e5
time_stamp = int(time.time())
out_path = None
@ -129,14 +132,14 @@ if __name__ == '__main__':
dirt_properties=dirt_props,
movement_properties=move_props,
pomdp_r=2, max_steps=400, parse_doors=True,
level_name='simple', frames_to_stack=6,
level_name='rooms', frames_to_stack=3,
omit_agent_in_obs=True, combin_agent_obs=True, record_episodes=False,
cast_shadows=True, doors_have_area=False, env_seed=seed, verbose=False,
)
if modeL_type.__name__ in ["PPO", "A2C"]:
kwargs = dict(ent_coef=0.01)
env = SubprocVecEnv([make_env(env_kwargs) for _ in range(6)], start_method="spawn")
env = SubprocVecEnv([make_env(env_kwargs) for _ in range(10)], start_method="spawn")
elif modeL_type.__name__ in ["RegDQN", "DQN", "QRDQN"]:
env = make_env(env_kwargs)()
kwargs = dict(buffer_size=50000,