Kory W. Mathewson | DeepAI

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Jürgen Schmidhuber
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Marc G. Bellemare
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Michael Bowling
40 publications
Patrick M. Pilarski
34 publications
Edward Hughes
30 publications
Florian Strub
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Pablo Samuel Castro
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Colin Cherry
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Todd D. Murphey
21 publications

∙ 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...

0 Aleksandra Kalinowska, et al. ∙

∙ 10/14/2022

Adaptive patch foraging in deep reinforcement learning agents

Patch foraging is one of the most heavily studied behavioral optimizatio...

0 Nathan J. Wispinski, et al. ∙

∙ 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...

5 Piotr Mirowski, et al. ∙

∙ 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 ...

0 Kory W. Mathewson, et al. ∙

∙ 03/01/2022

Learning Robust Real-Time Cultural Transmission without Human Data

Cultural transmission is the domain-general social skill that allows age...

0 Cultural General Intelligence Team, et al. ∙

∙ 11/04/2021

Generating Diverse Realistic Laughter for Interactive Art

We propose an interactive art project to make those rendered invisible b...

0 M. Mehdi Afsar, et al. ∙

∙ 11/03/2021

Automatic Embedding of Stories Into Collections of Independent Media

We look at how machine learning techniques that derive properties of ite...

4 Dylan R. Ashley, et al. ∙

∙ 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...

0 Jacqueline Comer, et al. ∙

∙ 09/29/2021

Collaborative Storytelling with Human Actors and AI Narrators

Large language models can be used for collaborative storytelling. In thi...

2 Boyd Branch, et al. ∙

∙ 12/11/2020

Conceptualization and Framework of Hybrid Intelligence Systems

As artificial intelligence (AI) systems are getting ubiquitous within ou...

26 Nikhil Prakash, et al. ∙

∙ 11/25/2019

Women, politics and Twitter: Using machine learning to change the discourse

Including diverse voices in political decision-making strengthens our de...

0 Lana Cuthbertson, et al. ∙

∙ 05/15/2019

A Human-Centered Approach to Interactive Machine Learning

The interactive machine learning (IML) community aims to augment humans'...

0 Kory W. Mathewson, et al. ∙

∙ 04/06/2019

Evaluating Coherence in Dialogue Systems using Entailment

Evaluating open-domain dialogue systems is difficult due to the diversit...

0 Nouha Dziri, et al. ∙

∙ 03/02/2019

Automatically Generating Engaging Presentation Slide Decks

Talented public speakers have thousands of hours of practice. One means ...

0 Thomas Winters, et al. ∙

∙ 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...

8 Kory W. Mathewson, et al. ∙

∙ 11/02/2018

Augmenting Neural Response Generation with Context-Aware Topical Attention

Sequence-to-Sequence (Seq2Seq) models have witnessed a notable success i...

0 Nouha Dziri, et al. ∙

∙ 10/31/2018

dAIrector: Automatic Story Beat Generation through Knowledge Synthesis

dAIrector is an automated director which collaborates with humans storyt...

0 Markus Eger, et al. ∙

∙ 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, ...

0 Kory W. Mathewson, et al. ∙

∙ 02/16/2018

Reactive Reinforcement Learning in Asynchronous Environments

The relationship between a reinforcement learning (RL) agent and an asyn...

0 Jaden B. Travnik, et al. ∙

∙ 11/10/2017

Communicative Capital for Prosthetic Agents

This work presents an overarching perspective on the role that machine i...

0 Patrick M. Pilarski, et al. ∙

∙ 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...

0 Kory W. Mathewson, et al. ∙

∙ 06/22/2016

Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning

This paper contributes a preliminary report on the advantages and disadv...

0 Kory W. Mathewson, et al. ∙

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