def main():
'''Simple function to bootstrap a game.
Use this as an example to set up your training env.
'''
# Print all possible environments in the Pommerman registry
print(pommerman.REGISTRY)
# Create a set of agents (exactly four)
agent_list = [
agents.BerlinAgent(),
agents.DortmundAgent(),
agents.BerlinAgent(),
agents.DortmundAgent(),
# agents.DockerAgent("pommerman/simple-agent", port=12345),
]
# Make the "Free-For-All" environment using the agent list
env = pommerman.make('PommeTeamCompetitionFast-v0', agent_list)
wins = 0
ties = 0
survived_agents = []
nof_plays = 100
# Run the episodes just like OpenAI Gym
for i_episode in range(nof_plays):
print("Game " + str(i_episode))
state = env.reset(i_episode)
done = False
while not done:
#env.render()
actions = env.act(state)
state, reward, done, info = env.step(actions)
print(info)
if info['result'] == pommerman.constants.Result.Tie:
ties += 1
elif info['winners'] == [1, 3]:
wins += 1
else:
print(info['result'])
print(info['winners'])
print("Lost with seed: " + str(i_episode))
print('Episode {} finished'.format(i_episode))
survived_agents.extend(state[0]['alive'])
env.close()
survived_team_0 = survived_agents.count(10) + survived_agents.count(12)
survived_team_1 = survived_agents.count(11) + survived_agents.count(13)
kills = nof_plays * 2 - survived_team_0
death = nof_plays * 2 - survived_team_1
print("kills / death / ratio: ", kills, " / ", death, " / ", kills/max(0.1, death))
winRatio = str(wins / max(1, (nof_plays - ties)))
print("wins: " + str(wins) + "/" + str(nof_plays - ties) + " = " + winRatio)
file = open("/tmp/hypertune_result_winrate.txt", "w")
file.write(winRatio)
file.close()
file = open("/tmp/hypertune_result_killdeath_diff.txt", "w")
file.write(str(kills - death))
file.close()
def main():
'''Simple function to bootstrap a game.
Use this as an example to set up your training env.
'''
# Print all possible environments in the Pommerman registry
print(pommerman.REGISTRY)
# Create a set of agents (exactly four)
agent_list = [
agents.BerlinAgent(),
agents.DortmundAgent(),
agents.BerlinAgent(),
agents.DortmundAgent(),
# agents.DockerAgent("pommerman/simple-agent", port=12345),
]
# Make the "Free-For-All" environment using the agent list
env = pommerman.make('PommeTeamCompetition-v0', agent_list)
# Run the episodes just like OpenAI Gym
for i_episode in range(1):
state = env.reset(18)
done = False
while not done:
env.render() #record_json_dir='/tmp/'
actions = env.act(state)
state, reward, done, info = env.step(actions)
print(info)
print('Episode {} finished'.format(i_episode))
env.close()