activity
20242026
most citedAdvantage Alignment Algorithms

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective

Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4

Neural quantum states (NQS) provide a flexible and scalable framework for approximating quantum many-body wavefunctions. Among NQS parameterizations, autoregressive models are espe…

cs.LG2026

Towards Sustainable Investment Policies Informed by Opponent Shaping

Juan Agustin Duque, Razvan Ciuca, Ayoub Echchahed +2

Addressing climate change requires global coordination, yet rational economic actors often prioritize immediate gains over collective welfare, resulting in social dilemmas. InvestE…

cs.LG2025

Learning Robust Social Strategies with Large Language Models

Dereck Piche, Mohammed Muqeeth, Milad Aghajohari +3

As agentic AI becomes more widespread, agents with distinct and possibly conflicting goals will interact in complex ways. These multi-agent interactions pose a fundamental challeng…

cs.LG2025

Evolution Strategies at the Hyperscale

Bidipta Sarkar, Mattie Fellows, Juan Agustin Duque +17

Evolution Strategies (ES) is a class of powerful black-box optimisation methods that are highly parallelisable and can handle non-differentiable and noisy objectives. However, naïv…

cs.LG2024★ 1 cited

Advantage Alignment Algorithms

Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans +4

Artificially intelligent agents are increasingly being integrated into human decision-making: from large language model (LLM) assistants to autonomous vehicles. These systems often…

cs.GT2024

LOQA: Learning with Opponent Q-Learning Awareness

Milad Aghajohari, Juan Agustin Duque, Tim Cooijmans +1

In various real-world scenarios, interactions among agents often resemble the dynamics of general-sum games, where each agent strives to optimize its own utility. Despite the ubiqu…

cs.GT2024

Best Response Shaping

Milad Aghajohari, Tim Cooijmans, Juan Agustin Duque +2

We investigate the challenge of multi-agent deep reinforcement learning in partially competitive environments, where traditional methods struggle to foster reciprocity-based cooper…