563 citations
- FACE FoundationUS8 papers
- Stanford UniversityUS5 papers
- Cornell UniversityUS4 papers
- Massachusetts Institute of TechnologyUS4 papers
- Allen Institute for Artificial IntelligenceUS3 papers
- Carnegie Mellon UniversityUS3 papers
- Google (United States)US3 papers
- King Fahd University of Petroleum and MineralsSA3 papers
- Sorbonne UniversitéFR3 papers
- Allen InstituteUS2 papers
- Booz Allen Hamilton (United States)US2 papers
- École PolytechniqueFR2 papers
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cs.AI2025
WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making
Guillaume Levy, Cedric Colas, Pierre-Yves Oudeyer +2
Large Language Models (LLMs) possess general world knowledge but often struggle to generate precise predictions in structured, domain-specific contexts such as simulations. These l…
cs.AI2025★ 1 cited
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
Loris Gaven, Thomas Carta, Clément Romac +4
Open-ended learning agents must efficiently prioritize goals in vast possibility spaces, focusing on those that maximize learning progress (LP). When such autotelic exploration is…
cs.AI2024
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
Quentin Gallouédec, Edward Beeching, Clément Romac +1
The search for a general model that can operate seamlessly across multiple domains remains a key goal in machine learning research. The prevailing methodology in Reinforcement Lear…