cf6d258c003a5a5b5073830e73e4580aeaf71d45,tensorforce/execution/runner.py,Runner,run,#Runner#Any#Any#Any#Any#,48

Before Change

            self.timestep = 1
            while True:
                if self.preprocessor:
                    processed_state = self.preprocessor.process(state)
                else:
                    processed_state = state

                action = self.agent.act(state=processed_state)

                if before_execution:
                    action = before_execution(self, action)

                if self.repeat_actions > 1:
                    reward = 0
                    for repeat in xrange(self.repeat_actions):
                        state, step_reward, terminal = self.environment.execute(action=action)
                        reward += step_reward
                        if terminal:
                            break
                else:
                    state, reward, terminal = self.environment.execute(action=action)

                episode_reward += reward
                self.agent.observe(state=processed_state, action=action, reward=reward, terminal=terminal)

                if terminal or self.timestep == max_timesteps:
                    break
                self.timestep += 1

After Change

                else:
                    next_state, reward, terminal = self.environment.execute(action=action)

                self.agent.observe(state=state, action=action, reward=reward, terminal=terminal)

                state = next_state
                self.timestep += 1
                episode_reward += reward

Instances