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Update plot.py #1

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89059e1
Update plot.py
aiAdrian Apr 23, 2025
d9a7244
Update train.py
aiAdrian Apr 23, 2025
8ae5071
Update plot.py
aiAdrian Apr 23, 2025
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13 changes: 2 additions & 11 deletions distributed_q_learning/plot/plot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,20 +26,11 @@ def running_avg(x, ws):

if __name__=='__main__':

resdir = '../experiments/reproduce_deterministic'
resdir = '../experiments/reproduce_deterministic/'

parq_list = glob.glob(join(resdir, '*/tr_rewards.parquet'))
config_list = glob.glob(join(resdir, '*/*_config.csv'))


config_list = [
'../experiments/reproduce_deterministic/1/1_config.csv',
'../experiments/reproduce_deterministic/2/2_config.csv',
'../experiments/reproduce_deterministic/3/3_config.csv',
'../experiments/reproduce_deterministic/4/4_config.csv',
'../experiments/reproduce_deterministic/5/5_config.csv',
]

ws = 5000

plt.figure(figsize=(15,7), dpi=80)
Expand Down Expand Up @@ -68,4 +59,4 @@ def running_avg(x, ws):
plt.xlabel('Episodes')
plt.ylabel('Cumulative reward')
plt.tight_layout()
plt.savefig('training.png')
plt.savefig('training.png')
2 changes: 1 addition & 1 deletion distributed_q_learning/train.py
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Expand Up @@ -207,7 +207,7 @@ def eval_batch(
], columns=['epsilon', 'epsilon decay', 'alpha', 'alpha decay', 'n_episodes'])

# Other parameters
out_dir = 'experiments/reproduce_determinstic'
out_dir = 'experiments/reproduce_deterministic'
n_workers = multiprocessing.cpu_count()
master_seed = 666
log_every = 10_000
Expand Down