def test_list(self):
"""Define the arena with one version"""
arena = Arena([("Random A", lambda seed: AgentRandom(seed)),
("Random C", lambda seed: AgentRandom(seed)),
("Random B", lambda seed: AgentRandom(seed))], 5)
self.assertEqual(len(arena.csv_results_lists()), 3)
self.assertListEqual(
arena.csv_results_lists(),
[['Random A', 0.2, 0.8, 0.8], ['Random B', 0.2, 0.2, 0.2],
['Random C', 0.2, 0.8, 0.2]])
default='arena.results.csv',
help='Path to write arena results')
ARGS = PARSER.parse_args()
print('Starting arena')
A3C_PATH = os.path.join("models",
"stated_2017-05-01T22-59-33.510476_best_0.45875")
dtype = torch.cuda.FloatTensor if torch.cuda.is_available(
) else torch.FloatTensor
ARENA = Arena(
[
# Place agents in this list as created
# first in the tuple is the readable name
# second is a lambda that ONLY takes a random seed. This can be discarded
# if the the Agent does not require a seed
("A3C", lambda seed: AgentA3C(A3C_PATH, dtype, seed)),
("Random", lambda seed: AgentRandom(seed))
],
500)
print('Run the arena for: ', ARENA.csv_header())
with open(ARGS.output, 'w') as f:
WRITER = csv.writer(f)
WRITER.writerow(ARENA.csv_header())
WRITER.writerows(ARENA.csv_results_lists())
print('Complete')