Edgar A. Duéñez-Guzmán

Orcid: 0000-0002-6212-9104

Affiliations:
  • DeepMind, London, UK
  • University of Tennessee, Knoxville, TN, USA (PhD 2009)


According to our database1, Edgar A. Duéñez-Guzmán authored at least 29 papers between 2011 and 2024.

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Bibliography

2024
Approximating the Core via Iterative Coalition Sampling.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
A social path to human-like artificial intelligence.
Nat. Mac. Intell., October, 2023

The Puzzle of Evaluating Moral Cognition in Artificial Agents.
Cogn. Sci., August, 2023

Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia.
CoRR, 2023

Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity.
CoRR, 2023

Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas.
CoRR, 2023

Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Melting Pot 2.0.
CoRR, 2022

Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria.
CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun., 2022

D3C: Reducing the Price of Anarchy in Multi-Agent Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Statistical discrimination in learning agents.
CoRR, 2021

A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings.
CoRR, 2021

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
DeepMind Lab2D.
CoRR, 2020

Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences.
CoRR, 2020

Safe Policy Learning for Continuous Control.
Proceedings of the 4th Conference on Robot Learning, 2020

Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Lyapunov-based Safe Policy Optimization for Continuous Control.
CoRR, 2019

Evolving Intrinsic Motivations for Altruistic Behavior.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Malthusian Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Inequity aversion resolves intertemporal social dilemmas.
CoRR, 2018

Inequity aversion improves cooperation in intertemporal social dilemmas.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Lyapunov-based Approach to Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015
Evolution of Self-Organized Task Specialization in Robot Swarms.
PLoS Comput. Biol., 2015

2013
No Free Lunch and Benchmarks.
Evol. Comput., 2013

GESwarm: grammatical evolution for the automatic synthesis of collective behaviors in swarm robotics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2011
Unsupervised measures for parameter selection of binarization algorithms.
Pattern Recognit., 2011


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