Added Taxi-v3 script

run_tests_MC_Taxi-v3.py

@@ -0,0 +1,34 @@
+import os
+import multiprocessing
+import random
+
+wandb_project = "cs581"
+
+env = "Taxi-v3"
+n_train_episodes = 10000
+max_steps = 500
+
+num_tests = 10
+
+vals_update_type = [
+    "first_visit"
+]  # Every visit takes too long due to this environment's reward structure
+vals_epsilon = [0.1, 0.2, 0.3, 0.4, 0.5]
+vals_gamma = [1.0, 0.98, 0.96, 0.94]
+
+
+def run_test(args):
+    os.system(
+        f"python3 run.py --agent MCAgent --train --n_train_episodes {n_train_episodes} --max_steps {max_steps} --env {env} --gamma {args[0]} --epsilon {args[1]} --update_type {args[2]} --wandb_project {wandb_project} --wandb_run_name_suffix {args[3]} --no_save"
+    )
+
+
+with multiprocessing.Pool(8) as p:
+    tests = []
+    for update_type in vals_update_type:
+        for gamma in vals_gamma:
+            for eps in vals_epsilon:
+                tests.extend((gamma, eps, update_type, i) for i in range(num_tests))
+    random.shuffle(tests)
+
+    p.map(run_test, tests)