error.py

from tensorforce import Configuration
from tensorforce.agents import TRPOAgent
from tensorforce.core.networks import layered_network_builder
import numpy as np

network_config = [{"type": "dense", "size": 50, "activation": "relu"}]

states = dict(shape=(2,), type='float')

actions = dict(action1=dict(continuous=True),
               action2=dict(continuous=True))

config = {'network': layered_network_builder(network_config),
          'states': states,
          'actions': actions,
          'batch_size': 10}

agent = TRPOAgent(Configuration(**config))

# Run experiment
for i in range(100):

    state = np.random.randn(2)
    action = agent.act(state=state)
    reward = np.random.randn()

    agent.observe(reward=reward, terminal=False)