def _build(self):
variant = copy.deepcopy(self._variant)
env = self.env = get_environment_from_variant(variant)
replay_pool = self.replay_pool = (get_replay_pool_from_variant(
variant, env))
sampler = self.sampler = get_sampler_from_variant(variant)
Qs = self.Qs = get_Q_function_from_variant(variant, env)
policy = self.policy = get_policy_from_variant(variant, env, Qs)
initial_exploration_policy = self.initial_exploration_policy = (
get_policy('UniformPolicy', env))
self.algorithm = get_algorithm_from_variant(
variant=variant,
env=env,
policy=policy,
initial_exploration_policy=initial_exploration_policy,
Qs=Qs,
pool=replay_pool,
sampler=sampler,
session=self._session,
)
initialize_tf_variables(self._session, only_uninitialized=True)
self._built = True
def _build(self):
variant = copy.deepcopy(self._variant)
env = self.env = get_environment_from_variant(variant)
replay_pool = self.replay_pool = (get_replay_pool_from_variant(
variant, env))
sampler = self.sampler = get_sampler_from_variant(variant)
Qs = self.Qs = get_Q_function_from_variant(variant, env)
#policy = self.policy = get_policy_from_variant(variant, env, Qs)
policy = self.policy = get_policy_from_variant(variant, env)
initial_exploration_policy = self.initial_exploration_policy = (
get_policy('UniformPolicy', env))
self.algorithm = get_algorithm_from_variant(
variant=self._variant,
env=self.env,
policy=policy,
initial_exploration_policy=initial_exploration_policy,
Qs=Qs,
pool=replay_pool,
sampler=sampler,
session=self._session)
print([
x for x in tf.get_default_graph().get_operations()
if x.type == "Placeholder"
])
initialize_tf_variables(self._session, only_uninitialized=True)
self._built = True