Oliver Deane

Tracking and mainstreaming replications in the social, cognitive, and behavioral sciences

Benjamin Brummernhenrich, Zoran Pavlović, Amélie Gourdon-Kanhukamwe, Alma Jeftić et autres

Replicability is a cornerstone of scientific progress. Yet, replications are often undervalued, and are sometimes seen as redundant, unimportant, or lacking novelty. This impedes their broader adoption in research and beyond. In response, the credibility revolution calls for slower, more deliberate science …

Tracking and mainstreaming replications in the social, cognitive, and behavioral sciences

Helena Hartmann, Flavio Azevedo, Lukas Röseler, Lukas Wallrich et autres

Replicability is a cornerstone of scientific progress. Yet, replications are often undervalued, and are sometimes seen as redundant, unimportant, or lacking novelty. This impedes their broader adoption in research and beyond. In response, the credibility revolution calls for slower, more deliberate science …

us, au, gb, be, nl (code pays fourni par la source)

Tracking and mainstreaming replications in the social, cognitive, and behavioral sciences

Helena Hartmann, Flavio Azevedo, Lukas Röseler, Lukas Wallrich et autres

Replicability is a cornerstone of scientific progress. Yet, replications are often undervalued, and are sometimes seen as redundant, unimportant, or lacking novelty. This impedes their broader adoption in research and beyond. In response, the credibility revolution calls for slower, more deliberate science …

us, au, gb, be, nl (code pays fourni par la source)

Tracking and mainstreaming replications in the social, cognitive, and behavioral sciences

Helena Hartmann, Flávio Azevedo, Lukas Röseler, Lukas Wallrich et autres

Replicability is a cornerstone of scientific progress. Yet, replications are often undervalued, and are sometimes seen as redundant, unimportant, or lacking novelty. This impedes their broader adoption in research and beyond. In response, the credibility revolution calls for slower, more deliberate science …

us, au, gb, be, nl (code pays fourni par la source)

A Human-in-the-Loop Approach to Learning Social Norms and Behavioural Policies

Oliver Deane, Oliver Ray

Abstract It is often desirable to constrain reinforcement learning (RL) policies to align with societal norms and individual preferences in order to better represent users’ intentions and expectations. In order to adequately deal with exceptions and conflicts between competing norms/preferences, it is …

gb (code pays fourni par la source)

Symplex: Learning Social Norm Hierarchies by Combining Autonomous Exploration and Expert Imitation

Oliver Deane, Oliver Ray

In this paper, we introduce SYMPLEX (Symbolic Policy Learning from Experts/Exploration), an interactive framework that learns complex hierarchies of behavioral norms as interpretable logical constraints through a combination of autonomous exploration and expert imitation. The approach ensures that learned constraints are interpretable …

gb (code pays fourni par la source)

Interactive Model Refinement in Relational Domains with Inductive Logic Programming

Oliver Deane, Oliver Ray

This paper presents an interactive system for exploring and editing logic-based machine learning models specialised for the relational reasoning problem domain. Prior work has highlighted the value of visual interfaces for enabling effective user interaction during model training. However, these existing systems …

gb (code pays fourni par la source)