Generating suggested communications by simulating interactions using language model neural networks

One or more computer-readable storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

• during an interaction between a plurality of actors:
• identifying a first plurality of first strategies for selecting between first parameterizations for communications for a first actor of the plurality of actors for the interaction, wherein each first parameterization parametrizes a set of context variables for the communications of the first actor during the interaction;
• identifying a second plurality of second strategies for selecting between second parameterizations for communications for a second actor of the plurality of actors for the interaction, wherein each second parameterization parametrizes a set of context variables for the communications of the second actor during the interaction;
• for each of a plurality of pairs that each include a respective first strategy and a respective second strategy:
• generating, using a language model neural network, one or more simulations of the interaction given that the first actor communicates in accordance with the first strategy and the second actor communicates in accordance with the second strategy;
• determining, from the one or more simulations, a score for the pair that indicates a degree to which the first actor communicating in accordance with the first strategy and the second actor communicating in accordance with the second strategy satisfies one or more objectives for the interaction;
• selecting, using the scores for the plurality of pairs, a first parametrization for the first actor;
• and
• generating, by processing an input that conditions the language model neural network on the selected first parameterization, a suggested communication for the first actor.

A system comprising:

• one or more computers;
• and
• one or more storage devices storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
• during an interaction between a plurality of actors:
• identifying a first plurality of first strategies for selecting between first parameterizations for communications for a first actor of the plurality of actors for the interaction, wherein each first parameterization parametrizes a set of context variables for the communications of the first actor during the interaction;
• identifying a second plurality of second strategies for selecting between second parameterizations for communications for a second actor of the plurality of actors for the interaction, wherein each second parameterization parametrizes a set of context variables for the communications of the second actor during the interaction;
• for each of a plurality of pairs that each include a respective first strategy and a respective second strategy:
• generating, using a language model neural network, one or more simulations of the interaction given that the first actor communicates in accordance with the first strategy and the second actor communicates in accordance with the second strategy;
• determining, from the one or more simulations, a score for the pair that indicates a degree to which the first actor communicating in accordance with the first strategy and the second actor communicating in accordance with the second strategy satisfies one or more objectives for the interaction;
• selecting, using the scores for the plurality of pairs, a first parametrization for the first actor;
• and
• generating, by processing an input that conditions the language model neural network on the selected first parameterization, a suggested communication for the first actor.