Scholar

Quentin Delfosse

Google Scholar ID: k1E0FgIAAAAJ

AIML Lab Technische Universität Darmstadt

RoboticsArtificial IntelligenceOpen Ended LearningIntrinsic Motivation

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Citations & Impact

All-time

Citations

318

H-index

11

i10-index

11

Publications

20

Co-authors

0

Publications

13 items

ALDER: Discovering the Laws of a World by Acting in It

2026

Cited

0

Learning Explicit Behavioral Models with Adaptive Questions and World-Model Probes

2026

Cited

0

Kintsugi: Learning Policies by Repairing Executable Knowledge Bases

2026

Cited

0

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning

2026

Cited

0

LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking

2026

Cited

0

Boosting deep Reinforcement Learning using pretraining with Logical Options

2026

Cited

0

STORM: Segment, Track, and Object Re-Localization from a Single 3D Model

2025

Cited

0

Deep Reinforcement Learning Agents are not even close to Human Intelligence

2025

Cited

0

Resume

Education

PhD, Computer Science, Stanford University, 2015-2020, Advisor: Dr. Jane Doe; MSc, Data Science, MIT, 2013-2015.

Background

Research interests: Machine Learning, Artificial Intelligence. Bio: A dedicated researcher in the field of AI...