activity
20212023
most citedInteractive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI

1 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023

ETHER: Aligning Emergent Communication for Hindsight Experience Replay

Kevin Denamganaï, Kevin Yandoka Denamganaï, Daniel Hernandez +3

Hindsight Experience Replay (HER) enhances sample efficiency in goal-conditioned reinforcement learning (RL) by relabelling failed trajectories with goals that were actually achiev…

cs.AI2023★ 1 cited

Learning to Select SAT Encodings for Pseudo-Boolean and Linear Integer Constraints

Felix Ulrich-Oltean, Peter Nightingale, James Alfred Walker

Many constraint satisfaction and optimisation problems can be solved effectively by encoding them as instances of the Boolean Satisfiability problem (SAT). However, even the simple…

cs.CL2023

Visual Referential Games Further the Emergence of Disentangled Representations

Kevin Denamganaï, Sondess Missaoui, James Alfred Walker

Natural languages are powerful tools wielded by human beings to communicate information. Among their desirable properties, compositionality has been the main focus in the context o…

cs.CL2022★ 1 cited

Meta-Referential Games to Learn Compositional Learning Behaviours

Kevin Denamganaï, Sondess Missaoui, James Alfred Walker

Human beings use compositionality to generalise from past experiences to novel experiences. We assume a separation of our experiences into fundamental atomic components that can be…

cs.HC2021★ 1 cited

Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI

ennifer Chubba, Sondess Missaouib, Shauna Concannonc +2

Conversational Artificial Intelligence (CAI) systems and Intelligent Personal Assistants (IPA), such as Alexa, Cortana, Google Home and Siri are becoming ubiquitous in our lives, i…

cs.NE2021

Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring

Adam Katona, Daniel W. Franks, James Alfred Walker

One of the most important lessons from the success of deep learning is that learned representations tend to perform much better at any task compared to representations we design by…