def step(self):
self.do_call_with_no_params(network.kRLStep)
self.do_standard_recv(network.kRLStep)
roat = Reward_observation_action_terminal()
roat.terminal = self._network.get_int()
roat.r = self._network.get_double()
roat.o = self._network.get_Observation()
roat.a = self._network.get_Action()
return roat
def step(self):
if self._prevact is None:
self.start()
rot = self._env.step(self._prevact)
roat = Reward_observation_action_terminal()
roat.o = rot.o
roat.r = rot.r
roat.terminal = rot.terminal
self._total_reward += rot.r
if rot.terminal == 1:
self._episode_count += 1
converged = self._agent.end(rot.r)
roat.converged = converged if converged is not None else 0
self._prevact = None
else:
self._step_count += 1
self._prevact = self._agent.step(rot.r, rot.o)
roat.a = self._prevact
return roat
