def create_mdnrnn_trainer_and_embed_dataset(mdnrnn_params: OpenAiGymParameters, use_gpu): env, mdnrnn_trainer, _, _, _ = mdnrnn_gym(mdnrnn_params) embed_rl_dataset = RLDataset("/tmp/rl.pkl") create_embed_rl_dataset(env, mdnrnn_trainer, embed_rl_dataset, use_gpu, mdnrnn_params.run_details) return env, mdnrnn_trainer, embed_rl_dataset
def _test_mdnrnn(self, params, use_gpu=False, feature_importance=False, feature_sensitivity=False): return mdnrnn_gym(params, use_gpu, feature_importance, feature_sensitivity)
def create_mdnrnn_trainer_and_embed_dataset(mdnrnn_params, use_gpu): env, mdnrnn_trainer, _, _, _ = mdnrnn_gym(mdnrnn_params, use_gpu) embed_rl_dataset = RLDataset("/tmp/rl.pkl") create_embed_rl_dataset( env, mdnrnn_trainer, embed_rl_dataset, use_gpu, **mdnrnn_params["run_details"] ) return env, mdnrnn_trainer, embed_rl_dataset
def _test_mdnrnn( self, params: OpenAiGymParameters, use_gpu=False, feature_importance=False, feature_sensitivity=False, ): return mdnrnn_gym(params, feature_importance, feature_sensitivity)