Quentin Delfosse
7 papers · 2022–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(6)
Machine Learning
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Reinforcement Learning
(2)
Architectures
(2)
Methods
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Learning Types · Deep Learning
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
reinforcement learning
(3)
deep reinforcement learning
(1)
human-aligned agent
(1)
continual learning
(1)
interpretable machine learning
(1)
policy learning
(1)
program synthesis
(1)
relational reasoning
(1)
neural plasticity
(1)
visual concept learning
(1)
compositional representation
(1)
parameter-efficient fine-tuning
(1)
evaluation benchmark
(1)
concept bottleneck
(1)
unsupervised learning
(1)
domain expert
(1)
policy regularization
(1)
credit assignment
(1)
activation function
(1)
model compression
(1)
Papers
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
ICLR 2025
Adaptive Rational Activations to Boost Deep Reinforcement Learning
ICLR 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
NeurIPS 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
UAI 2024
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
NeurIPS 2023
Adaptable Adapters
NAACL 2022
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability
ICLR 2022