Andrei Lupu
14 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (35) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Topic Evolution
👥
Mega-Team · Squad
🏆
Grand Slam
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(77)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Reinforcement Learning
(9)
Methods
(9)
Artificial Intelligence
(8)
Core AI
(8)
Learning Types
(6)
Optimization & Theory
(4)
Deep Learning
(3)
Natural Language Processing
(2)
Applications
(2)
Resources & Methods
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Core Methods
(1)
Foundations
(1)
Keywords
multi-agent system
(4)
reinforcement learning
(4)
zero-shot coordination
(3)
multi-agent coordination
(3)
covariate shift
(2)
ad-hoc coordination
(2)
game theory
(2)
multi-agent reinforcement learning
(2)
off-belief learning
(2)
large language model
(2)
online learning
(1)
code generation
(1)
model safety
(1)
text generation
(1)
adversarial robustness
(1)
prompt engineering
(1)
multi-armed bandit
(1)
curriculum learning
(1)
adversarial learning
(1)
adversarial attack
(1)
Papers
Ad-Hoc Human-AI Coordination Challenge
ICML 2025
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games
IJCAI 2025
OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination
ICLR 2025
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
NeurIPS 2024
Behaviour Distillation
ICLR 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
NeurIPS 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
NeurIPS 2024
Adversarial Diversity in Hanabi
ICLR 2023
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
NeurIPS 2022
Off-Team Learning
NeurIPS 2022
Self-Explaining Deviations for Coordination
NeurIPS 2022
Trajectory Diversity for Zero-Shot Coordination
ICML 2021
Gifting in Multi-Agent Reinforcement Learning (Student Abstract)
AAAI 2020
Leveraging Observations in Bandits: Between Risks and Benefits
AAAI 2019