67d13b4ba91b23ad29f660aae68a01ddbd809530,chainerrl/agents/ppo.py,PPO,batch_act,#PPO#Any#,446

Before Change

        Returns:
            batch_action (ndarray): set of actions for each environment
        
        batch_action, batch_v = self._batch_act(batch_obs)

        return batch_action

After Change

        xp = self.xp
        b_state = self.batch_states(batch_obs, xp, self.phi)

        if self.obs_normalizer:
            b_state = self.obs_normalizer(b_state, update=False)

        with chainer.using_config("train", False), chainer.no_backprop_mode():
            action_distrib, _ = self.model(b_state)
            action = chainer.cuda.to_cpu(action_distrib.sample().data)

        return action

    def batch_act_and_train(self, batch_obs):
        xp = self.xp

Instances