From 686da13eb4e24256dda108b797b248d7a3262255 Mon Sep 17 00:00:00 2001
From: pmaas <philip.maas@stud.hs-bochum.de>
Date: Thu, 3 Mar 2022 21:29:54 +0100
Subject: [PATCH] reformatted code
---
DeepQLearning/main.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/DeepQLearning/main.py b/DeepQLearning/main.py
index 7359503..f3f9248 100644
--- a/DeepQLearning/main.py
+++ b/DeepQLearning/main.py
@@ -13,7 +13,7 @@ marvin = dqnAgent(gamma=0.99, vareps=1.0, lr=0.001,
observations=nmb_of_obs, actions=nmb_of_actions, memSize=25000,
epsMin=0.05, bSize=16, epsDec=0.999, bins=7)
-rewards = [];
+rewards = []
epsHistory = []
avg_rewards = []
steps = 0
@@ -21,7 +21,7 @@ verbose = False
best_total_reward = -1000
progress = tqdm(range(10000), desc='Training', unit=' episode')
-for epoche in progress:
+for epochs in progress:
done = False
observation = env.reset()
observation = observation.reshape(1, -1)
@@ -61,7 +61,7 @@ for epoche in progress:
msg += ' vareps=' + str(round(marvin.vareps, ndigits=2))
msg += ' avg=' + str(movingAvr)
progress.set_description(msg)
- if epoche % 10 == 0:
+ if epochs % 10 == 0:
np.save("eps.npy", np.array(epsHistory))
np.save("total_rewards.npy", np.array(rewards))
np.save("avg_rewards.npy", np.array(avg_rewards))
--
GitLab