Python create_deterministic_residual_policy示例

示例#1

文件： bcq_impl.py 项目： DenDen047/d3rlpy

 def _build_actor(self):
     self.policy = create_deterministic_residual_policy(
         self.observation_shape,
         self.action_size,
         self.action_flexibility,
         self.use_batch_norm,
         encoder_params=self.encoder_params)

示例#2

def test_create_deterministic_residual_policy(observation_shape, action_size,
                                              scale, batch_size,
                                              use_batch_norm):
    policy = create_deterministic_residual_policy(observation_shape,
                                                  action_size, scale,
                                                  use_batch_norm)

    assert isinstance(policy, DeterministicResidualPolicy)

    x = torch.rand((batch_size, ) + observation_shape)
    action = torch.rand(batch_size, action_size)
    y = policy(x, action)
    assert y.shape == (batch_size, action_size)

示例#3

 def _build_actor(self):
     self.policy = create_deterministic_residual_policy(
         self.observation_shape, self.action_size, self.action_flexibility,
         self.actor_encoder_factory)