CB2: Collaborative Natural Language Interaction Research Platform

03/14/2023
by   Jacob Sharf, et al.
0

CB2 is a multi-agent platform to study collaborative natural language interaction in a grounded task-oriented scenario. It includes a 3D game environment, a backend server designed to serve trained models to human agents, and various tools and processes to enable scalable studies. We deploy CB2 at https://cb2.ai as a system demonstration with a learned instruction following model.

READ FULL TEXT

page 3

page 5

research
07/11/2019

Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning

We present the first complete attempt at concurrently training conversat...
research
05/08/2017

The Pragmatics of Indirect Commands in Collaborative Discourse

Today's artificial assistants are typically prompted to perform tasks th...
research
12/19/2022

Continual Learning for Instruction Following from Realtime Feedback

We study the problem of continually training an instruction-following ag...
research
05/14/2023

Mobile-Env: A Universal Platform for Training and Evaluation of Mobile Interaction

The interaction platform plays a crucial role in the recent advancement ...
research
09/09/2021

Analysis of Language Change in Collaborative Instruction Following

We analyze language change over time in a collaborative, goal-oriented i...
research
05/09/2021

gComm: An environment for investigating generalization in Grounded Language Acquisition

gComm is a step towards developing a robust platform to foster research ...
research
05/12/2019

Improving Natural Language Interaction with Robots Using Advice

Over the last few years, there has been growing interest in learning mod...

Please sign up or login with your details

Forgot password? Click here to reset