class local_env(object):
def __init__(self, env_id):
remote_base = 'http://127.0.0.1:5000'
self.client = Client(remote_base)
self.instance_id = self.client.env_create(env_id)
def reset(self):
obs = self.client.env_reset(self.instance_id)
return obs
def step(self, action):
#print("---sssss---------",type(action),action.item())
[observation, reward, done,
info] = self.client.env_step(self.instance_id, action.item(), True)
return observation, reward, done, info
def action_space_sample(self):
action = self.client.env_action_space_sample(self.instance_id)
return action
def action_space_info(self):
info = self.client.env_action_space_info(self.instance_id)
return info
def observation_space_info(self):
info = self.client.env_observation_space_info(self.instance_id)
return info
# Run experiment, with monitor
outdir = '/tmp/random-agent-results'
client.env_monitor_start(instance_id, outdir, force=True)
episode_count = 100
max_steps = 200
reward = 0
done = False
for i in range(episode_count):
ob = client.env_reset(instance_id)
for j in range(max_steps):
action = agent.act(ob, reward, done)
ob, reward, done, _ = client.env_step(instance_id, action, True)
if done:
break
# Dump result info to disk
client.env_monitor_close(instance_id)
# Upload to the scoreboard. This expects the 'OPENAI_GYM_API_KEY'
# environment variable to be set on the client side.
logger.info("""Successfully ran example agent using
gym_http_client. Now trying to upload results to the
scoreboard. If this fails, you likely need to set
os.environ['OPENAI_GYM_API_KEY']=<your_api_key>""")
client.upload(outdir)
resume=False,
video_callable=False)
episode_count = 100
max_steps = 200
reward = 0
done = False
for i in range(episode_count):
ob = client.env_reset(instance_id)
for j in range(max_steps):
# action = agent.act(ob, reward, done)
action = client.env_action_space_sample(instance_id)
ob, reward, done, _ = client.env_step(instance_id,
action,
render=False)
if done:
break
# Dump result info to disk
client.env_monitor_close(instance_id)
# Upload to the scoreboard. This expects the 'OPENAI_GYM_API_KEY'
# environment variable to be set on the client side.
logger.info("""Successfully ran example agent using
gym_http_client. Now trying to upload results to the
scoreboard. If this fails, you likely need to set
os.environ['OPENAI_GYM_API_KEY']=<your_api_key>""")
client.upload(outdir)
# Run experiment, with monitor
outdir = '/tmp/random-agent-results'
client.env_monitor_start(instance_id, outdir, force=True)
episode_count = 100
max_steps = 200
reward = 0
done = False
for i in range(episode_count):
ob = client.env_reset(instance_id)
for j in range(max_steps):
action = agent.act(ob, reward, done)
ob, reward, done, _ = client.env_step(instance_id, action, True)
if done:
break
# Dump result info to disk
client.env_monitor_close(instance_id)
# Upload to the scoreboard. This expects the 'OPENAI_GYM_API_KEY'
# environment variable to be set on the client side.
logger.info("""Successfully ran example agent using
gym_http_client. Now trying to upload results to the
scoreboard. If this fails, you likely need to set
os.environ['OPENAI_GYM_API_KEY']=<your_api_key>""")
client.upload(outdir)