Multi-agent collaboration via joint model steering

A computer-implemented method of performing a task, comprising, at an agent:

• determining a task prompt;
• providing the task prompt to a machine learning model, configured to provide a command based upon the task prompt;
• determining a model steering value;
• generating a vote for the model steering value;
• providing the vote for the model steering value to the machine learning model;
• and
• receiving a command from the machine learning model.

A system comprising one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

• receiving a task prompt as an input to a machine learning model;
• determining an aggregated vote corresponding to a model steering value, wherein the aggregated vote is based on respective votes of each of a plurality of agents, each of the plurality of agents being a computer-implemented agent;
• modifying an activation function of one or more artificial neurons in a layer of the machine learning model based upon:
• the aggregated vote;
• and
• a mapping between the activation function and the model steering value;
• generating a command based upon the output of the layer having the modified activation function;
• and
• providing the command to one or more of the plurality of agents.