Teaching Social Behavior through Human Reinforcement for Ad hoc Teamwork -The STAR Framework

09/20/2018
by   Shani Alkoby, et al.
0

As technology develops, it is only a matter of time before agents will be capable of long-term autonomy, i.e., will need to choose their actions by themselves for a long period of time. Thus, in many cases agents will not be able to be coordinated in advance with all other agents with which they may interact. Instead, agents will need to cooperate in order to accomplish unanticipated joint goals without pre-coordination. As a result, the "ad hoc teamwork" problem, in which teammates must work together to obtain a common goal without any prior agreement regarding how to do so, has emerged as a recent area of study in the AI literature. However, to date, no attention has been dedicated to the social aspect of the agents' behavior, which is required to ensure that their actions' influences on other agents conform with social norms. In this research, we introduce the STAR framework used to teach agents to act in accordance with human social norms with respect to their teammates. Using a hybrid team (agents and people), if taking an action considered to be socially unacceptable, the agents will receive negative feedback from the human teammate(s). We view STAR as an initial step towards achieving the goal of teaching agents to act more consistently with respect to human morality.

READ FULL TEXT
research
09/20/2018

Ad hoc Teamwork and Moral Feedback as a Framework for Safe Agent Behavior

As technology develops, it is only a matter of time before agents will b...
research
07/22/2019

Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems

This paper is concerned with evaluating different multiagent learning (M...
research
09/01/2014

Team Behavior in Interactive Dynamic Influence Diagrams with Applications to Ad Hoc Teams

Planning for ad hoc teamwork is challenging because it involves agents c...
research
10/01/2020

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds

We seek to create agents that both act and communicate with other agents...
research
07/08/2019

Diverse Agents for Ad-Hoc Cooperation in Hanabi

In complex scenarios where a model of other actors is necessary to predi...
research
02/07/2020

Mobile Wireless Network Infrastructure on Demand

In this work, we introduce Mobile Wireless Infrastructure on Demand: a f...
research
07/22/2019

The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving

Many animals, and an increasing number of artificial agents, display sop...

Please sign up or login with your details

Forgot password? Click here to reset