How to use the stable-baselines.stable_baselines.common.base_class.ActorCriticRLModel function in stable-baselines

To help you get started, we’ve selected a few stable-baselines examples, based on popular ways it is used in public projects.

Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.

github harvard-edge / quarl / stable-baselines / stable_baselines / common / base_class.py View on Github external
def __init__(self, policy, env, _init_setup_model, verbose=0, policy_base=ActorCriticPolicy,
                 requires_vec_env=False, policy_kwargs=None, seed=None, n_cpu_tf_sess=None):
        super(ActorCriticRLModel, self).__init__(policy, env, verbose=verbose, requires_vec_env=requires_vec_env,
                                                 policy_base=policy_base, policy_kwargs=policy_kwargs,
                                                 seed=seed, n_cpu_tf_sess=n_cpu_tf_sess)

        self.sess = None
        self.initial_state = None
        self.step = None
        self.proba_step = None
        self.params = None
        self._runner = None

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.

MIT
Latest version published 4 years ago

Package Health Score

60 / 100
Full package analysis

Similar packages