no code implementations • 28 Feb 2023 • Seth Karten, Siva Kailas, Huao Li, Katia Sycara
Explicit communication among humans is key to coordinating and learning.
no code implementations • 30 Nov 2022 • Seth Karten, Mycal Tucker, Siva Kailas, Katia Sycara
We evaluate the learned communication `language' through direct causal analysis of messages in non-sparse runs to determine the range of lossless sparse budgets, which allow zero-shot sparsity, and the range of sparse budgets that will inquire a reward loss, which is minimized by our learned gating function with few-shot sparsity.
no code implementations • 26 Jan 2022 • Mycal Tucker, William Kuhl, Khizer Shahid, Seth Karten, Katia Sycara, Julie Shah
Neural nets are powerful function approximators, but the behavior of a given neural net, once trained, cannot be easily modified.
no code implementations • 19 Jan 2022 • Seth Karten, Mycal Tucker, Huao Li, Siva Kailas, Michael Lewis, Katia Sycara
In human-agent teams tested in benchmark environments, where agents have been modeled using the Enforcers, we find that a prototype-based method produces meaningful discrete tokens that enable human partners to learn agent communication faster and better than a one-hot baseline.