How can one render the environment using the Tensorforce library?
I've tried calling environment.render, but it says that the function does not exist. This is my code:
from tensorforce.agents import Agent
from tensorforce.environments import Environment
from tensorforce.execution import Runner
# Create an OpenAI-Gym environment
environment = Environment.create(environment='gym', level='MountainCarContinuous-v0')
agent = Agent.create(agent='random', environment=environment)
# runner = Runner(agent=agent, environment=environment) # Initialize the runner
# runner.run(num_episodes=NUM_EPISODES) # Start the runner
# runner.close()
# Train
for ep in range(NUM_EPISODES): # Number of episodes
print('********Episode ' + str(ep) + '********')
# Initialize episode
states = environment.reset()
done = False
step = 0
while not done: # Episode timestep
actions = agent.act(states=states)
states, done, reward = environment.execute(actions=actions)
agent.observe(terminal=done, reward=reward)
environment.render() # Gives error
environment.close()
agent.close()
And this is the error I get:
Traceback (most recent call last):
File "c:\users\user\reinforcement learning\rl.py", line 179, in <module>
environment.render()
AttributeError: 'OpenAIGym' object has no attribute 'render'
