Abstract: A method of training a model, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence, and in particular to a field of reinforcement learning, NLP, etc. The method includes: acquiring a dialogue information; obtaining a predicted information based on the dialogue information by using a first intention recognition model, a first recurrent neural network and a first named entity recognition model; obtaining a machine behavior information based on the predicted information by using a first behavior decision model; acquiring a feedback information for the machine behavior; storing at least one of the predicted information, the machine behavior information, or the feedback information as training data in a database; and performing a model optimization training online based on the training data by using a reinforcement learning algorithm, in response to an amount of the training data reaching a preset data amount.

Abstract: A method for processing a question is performed by an electronic device. The method includes: receiving a question to be processed from a user input; determining a first similarity between the question to be processed and each candidate question in at least one reference question-answer (Q&A) pair; determining a second similarity between the question to be processed and the at least one reference Q&A pair based on the first similarity; determining a target Q&A pair from the at least one reference Q&A pair based on the second similarity; and replying to the user for the question to be processed based on a target answer in the target Q&A pair.

Abstract: A method of training a model, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence, and in particular to a field of reinforcement learning, NLP, etc. The method includes: acquiring a dialogue information; obtaining a predicted information based on the dialogue information by using a first intention recognition model, a first recurrent neural network and a first named entity recognition model; obtaining a machine behavior information based on the predicted information by using a first behavior decision model; acquiring a feedback information for the machine behavior; storing at least one of the predicted information, the machine behavior information, or the feedback information as training data in a database; and performing a model optimization training online based on the training data by using a reinforcement learning algorithm, in response to an amount of the training data reaching a preset data amount.

Abstract: The disclosure relates to a nanocomposite polymeric film including a thermoplastic polymer matrix such as polypropylene or other polyolefin, a coupling agent-modified organoclay reinforcement, and a polymeric compatibilizer bound to the coupling agent-modified organoclay, in particular as a thin film with controllable thicknesses. The disclosure further relates to masterbatch additives formed from the coupling agent-modified organoclay and the polymeric compatibilizer bound to the coupling agent-modified organoclay as well as related methods for making the nanocomposite polymeric film and/or processing recycled plastics. The inclusion of the coupling agent-modified organoclay reinforcement improves the mechanical properties of the nanocomposite polymeric film and the rheological properties of polymer melts including the nanocomposite polymeric film components.

Abstract: The disclosure relates to a nanocomposite polymeric film including a thermoplastic polymer matrix such as polypropylene or other polyolefin, a coupling agent-modified organoclay reinforcement, and a polymeric compatibilizer bound to the coupling agent-modified organoclay, in particular as a thin film with controllable thicknesses. The disclosure further relates to masterbatch additives formed from the coupling agent-modified organoclay and the polymeric compatibilizer bound to the coupling agent-modified organoclay as well as related methods for making the nanocomposite polymeric film and/or processing recycled plastics. The inclusion of the coupling agent-modified organoclay reinforcement improves the mechanical properties of the nanocomposite polymeric film and the rheological properties of polymer melts including the nanocomposite polymeric film components.