How to render environment in Tensorforce?
In case you use
https://github.com/tensorforce/tensorforce/blob/master/examples/act_observe_interface.py ,
the following modification works.
Import gym:
import gym
from gym import wrappers

then define a Tensorforce environment with a Gym environment:
    env = gym.make('CartPole-v1')
    env = wrappers.Monitor(env, 'tmp', force=True)

    environment = Environment.create(environment=env, max_episode_timesteps=500)
    # environment = Environment.create(environment='/Users/rondelion/git/tensorforce/benchmarks/configs/cartpole.json')

and render the Gym environment:
            ....
            num_updates += agent.observe(terminal=terminal, reward=reward)
            env.render()
            sum_rewards += reward
            ....