Elliot A. Ludvig

According to our database, Elliot A. Ludvig authored at least 12 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Assimilating human feedback from autonomous vehicle interaction in reinforcement learning models.

Richard Fox, Elliot A. Ludvig

Auton. Agents Multi Agent Syst., December, 2024

The Evolution of Reinforcement Learning in Quantitative Finance.

Nikolaos Pippas, Cagatay Turkay, Elliot A. Ludvig

CoRR, 2024

2023

From eye-blinks to state construction: Diagnostic benchmarks for online representation learning.

Banafsheh Rafiee, Zaheer Abbas, Sina Ghiassian, Raksha Kumaraswamy, Richard S. Sutton, Elliot A. Ludvig, Adam White

Adapt. Behav., February, 2023

Preferences for descriptiveness and co-explanation in complex explanations.

Michael Hattersley, Reed Orchinik, Elliot Andrew Ludvig, Rahul Bhui

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2021

Relationship between Delay Discounting and Risk Preference in Chimpanzees (Pan troglodytes) and Humans.

Stefanie Keupp, Sebastian Grueneisen, Felix Warneken, Elliot A. Ludvig, Alicia P. Melis

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2017

Information Seeking as Chasing Anticipated Prediction Errors.

Jian-Qiao Zhu, Wendi Xiang, Elliot A. Ludvig

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2014

Automated Story Selection for Color Commentary in Sports.

Greg Lee, Vadim Bulitko, Elliot A. Ludvig

IEEE Trans. Comput. Intell. AI Games, 2014

2013

Time representation in reinforcement learning models of the basal ganglia.

Samuel Gershman, Ahmed A. Moustafa, Elliot A. Ludvig

Frontiers Comput. Neurosci., 2013

2012

Sports Commentary Recommendation System (SCoReS): Machine Learning for Automated Narrative.

Greg Lee, Vadim Bulitko, Elliot A. Ludvig

Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012

2008

Stimulus Representation and the Timing of Reward-Prediction Errors in Models of the Dopamine System.

Elliot A. Ludvig, Richard S. Sutton, E. James Kehoe

Neural Comput., 2008

Learning to Generalize through Predictive Representations: A Computational Model of Mediated Conditioning.

Elliot A. Ludvig, Anna Koop

Proceedings of the From Animals to Animats 10, 2008

A computational model of hippocampal function in trace conditioning.

Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek, E. James Kehoe

Proceedings of the Advances in Neural Information Processing Systems 21, 2008