research
∙
11/02/2022
Over-communicate no more: Situated RL agents learn concise communication protocols
While it is known that communication facilitates cooperation in multi-ag...
share
research
∙
10/14/2022
Adaptive patch foraging in deep reinforcement learning agents
Patch foraging is one of the most heavily studied behavioral optimizatio...
research
∙
09/29/2022
Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals
Language models are increasingly attracting interest from writers. Howev...
research
∙
04/20/2022
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning
Interactive machine learning (IML) is a field of research that explores ...
research
∙
03/01/2022
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural transmission is the domain-general social skill that allows age...
research
∙
11/04/2021
Generating Diverse Realistic Laughter for Interactive Art
We propose an interactive art project to make those rendered invisible b...
research
∙
11/03/2021
Automatic Embedding of Stories Into Collections of Independent Media
We look at how machine learning techniques that derive properties of ite...
research
∙
09/30/2021
#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics
The United Nations identified gender equality as a Sustainable Developme...
research
∙
09/29/2021
Collaborative Storytelling with Human Actors and AI Narrators
Large language models can be used for collaborative storytelling. In thi...
research
∙
12/11/2020
Conceptualization and Framework of Hybrid Intelligence Systems
As artificial intelligence (AI) systems are getting ubiquitous within ou...
research
∙
11/25/2019
Women, politics and Twitter: Using machine learning to change the discourse
Including diverse voices in political decision-making strengthens our de...
research
∙
05/15/2019
A Human-Centered Approach to Interactive Machine Learning
The interactive machine learning (IML) community aims to augment humans'...
research
∙
04/06/2019
Evaluating Coherence in Dialogue Systems using Entailment
Evaluating open-domain dialogue systems is difficult due to the diversit...
research
∙
03/02/2019
Automatically Generating Engaging Presentation Slide Decks
Talented public speakers have thousands of hours of practice. One means ...
research
∙
01/31/2019
Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue
We consider the problem of designing an artificial agent capable of inte...
research
∙
11/02/2018
Augmenting Neural Response Generation with Context-Aware Topical Attention
Sequence-to-Sequence (Seq2Seq) models have witnessed a notable success i...
research
∙
10/31/2018
dAIrector: Automatic Story Beat Generation through Knowledge Synthesis
dAIrector is an automated director which collaborates with humans storyt...
research
∙
09/06/2018
Improbotics: Exploring the Imitation Game using Machine Intelligence in Improvised Theatre
Theatrical improvisation (impro or improv) is a demanding form of live, ...
research
∙
02/16/2018
Reactive Reinforcement Learning in Asynchronous Environments
The relationship between a reinforcement learning (RL) agent and an asyn...
research
∙
11/10/2017
Communicative Capital for Prosthetic Agents
This work presents an overarching perspective on the role that machine i...
research
∙
01/09/2017
Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception
This paper extends recent work in interactive machine learning (IML) foc...
research
∙
06/22/2016