Edgar A. Duéñez-Guzmán

Joined

November 2018

Names

Edgar A. Duéñez-Guzmán (Preferred)

Edgar Alfredo Duenez-Guzman

Edgar Alfredo Duéñez-Guzmán

Edgar A Duéñez Guzmán

Emails

****@google.com (Confirmed)

****@deepmind.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

DeepMind (deepmind.com)

2017 – 2025

Software Engineer

Google (google.com)

2013 – 2017

Postdoc

KU Leuven (kuleuven.be)

2012 – 2013

Postdoc

Harvard University (harvard.edu)

2010 – 2012

PhD student

University of Tennessee, Knoxville (utk.edu)

2005 – 2009

Advisors, Relations & Conflicts

No relations added

Expertise

Social behavior

Present

Multi-agent learning

Present

Evolution

Present

Safe reinforcement learning

2017 – 2019

Information retrieval

2013 – 2017

Publications

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala et al. (66 additional authors not shown)
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
Rakshit Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, Dipam Chakraborty, John P Agapiou, Jayd Matyas, Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Yue Zhao, Marko Tesic et al. (6 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
The Concordia Contest: Advancing the Cooperative Intelligence of Language Agents
Chandler Smith, Rakshit Trivedi, Jesse Clifton, Lewis Hammond, Akbir Khan, Sasha Vezhnevets, John P Agapiou, Edgar A. Duéñez-Guzmán, Jayd Matyas, Danny Karmon, Marwa Abdulhai, Dylan Hadfield-Menell, Natasha Jaques, Joel Z Leibo, Oliver Slumbers, Tim Baarslag, Minsuk Chang
- NeurIPS 2024 Competition Track
- Readers: Everyone
Auto-Aligning Multiagent Incentives with Global Objectives
Minae Kwon, John P Agapiou, Edgar A. Duéñez-Guzmán, Romuald Elie, Georgios Piliouras, Kalesha Bullard, Ian Gemp
- ICML LLW 2023
- Readers: Everyone
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
Peter Sunehag, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Igor Mordatch, Joel Z. Leibo
- Published: 01 Jan 2023, Last Modified: 28 Apr 2023
- CoRR 2023
- Readers: Everyone
Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity
Yiran Mao, Madeline G. Reinecke, Markus Kunesch, Edgar A. Duéñez-Guzmán, Ramona Comanescu, Julia Haas, Joel Z. Leibo
- Published: 01 Jan 2023, Last Modified: 02 Oct 2023
- CoRR 2023
- Readers: Everyone
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas
Udari Madhushani, Kevin R. McKee, John P. Agapiou, Joel Z. Leibo, Richard Everett, Thomas W. Anthony, Edward Hughes, Karl Tuyls, Edgar A. Duéñez-Guzmán
- Published: 01 Jan 2023, Last Modified: 02 Oct 2023
- CoRR 2023
- Readers: Everyone
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
Peter Sunehag, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Igor Mordatch, Joel Z. Leibo
- Published: 01 Jan 2023, Last Modified: 02 Oct 2023
- AAMAS 2023
- Readers: Everyone
Melting Pot 2.0
John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo
- Published: 01 Jan 2022, Last Modified: 28 Apr 2023
- CoRR 2022
- Readers: Everyone
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria
Kavya Kopparapu, Edgar A. Duéñez-Guzmán, Jayd Matyas, Alexander Sasha Vezhnevets, John P. Agapiou, Kevin R. McKee, Richard Everett, Janusz Marecki, Joel Z. Leibo, Thore Graepel
- Published: 01 Jan 2022, Last Modified: 28 Apr 2023
- CoRR 2022
- Readers: Everyone

View all 35 publications

Co-Authors

View all 190 co-authors