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Quentin Delfosse — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Quentin Delfosse
18
papers ·
12
citations ·
4
h-index
Technische Universität Darmstadt
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
2023 · 7 citations
Adaptive Rational Activations to Boost Deep Reinforcement Learning
2021 · 2 citations
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
2024 · 2 citations
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
2023 · 1 citations
LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
2026
GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning
2026
Boosting deep Reinforcement Learning using pretraining with Logical Options
2026
Deep Reinforcement Learning Agents are not even close to Human Intelligence
2025
Deep Reinforcement Learning via Object-Centric Attention
2025
Better Decisions through the Right Causal World Model
2025
Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs
2025
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
2024
EXPIL: Explanatory Predicate Invention for Learning in Games
2024
Top co-authors
Kristian Kersting
· 15
Jannis Bl\"uml
· 7
Bjarne Gregori
· 4
Hikaru Shindo
· 4
Elisabeth Dillies
· 3
Hector Kohler
· 3
Philippe Preux
· 3
Cedric Derstroff
· 2
Patrick Schramowski
· 2
Raban Emunds
· 2
Riad Akrour
· 2
Sebastian Sztwiertnia
· 2
Topics
Model-Based RL
Game AI
RLHF & Alignment
Policy Gradient
cs.LG
cs.AI
Exploration
Meta-RL
Safe RL
Multi-Agent