Matthias Gerstgrasser
7 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (19)
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Grand Slam
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Topic Evolution
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Conference Pioneer
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Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Keywords
multi-agent reinforcement learning
(2)
reinforcement learning
(2)
mechanism design
(2)
instruction tuning
(1)
partial observability
(1)
generative model
(1)
imitation learning
(1)
markov decision process
(1)
partially observable markov decision process
(1)
kernel density estimation
(1)
stackelberg equilibrium
(1)
offline learning
(1)
pretraining
(1)
synthetic data
(1)
sample efficiency
(1)
bilateral trade
(1)
model collapse
(1)
language model fine-tuning
(1)
human-ai interaction
(1)
deep reinforcement learning
(1)
Papers
Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World
ICML 2025
Grounding Gaps in Language Model Generations
NAACL 2024
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
ICML 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
NeurIPS 2023
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning
ICLR 2022
Reinforcement Learning of Sequential Price Mechanisms
AAAI 2021
Multi-Unit Bilateral Trade
AAAI 2019