Thomas PIERROT
7 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(5)
Reinforcement Learning
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Applications
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Models
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Core Methods
(1)
Keywords
reinforcement learning
(4)
evolutionary algorithm
(2)
quality diversity
(2)
hierarchical planning
(1)
multimodal learning
(1)
program synthesis
(1)
parallel computing
(1)
gene expression
(1)
continuous control
(1)
robotics control
(1)
skill discovery
(1)
protein sequence
(1)
hyperparameter tuning
(1)
monte carlo tree search
(1)
foundation model
(1)
controllable generation
(1)
discrete diffusion
(1)
classifier-free guidance
(1)
hardware acceleration
(1)
quality-diversity optimization
(1)
Papers
Simple Guidance Mechanisms for Discrete Diffusion Models
ICLR 2025
Multi-modal Transfer Learning between Biological Foundation Models
NeurIPS 2024
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
JMLR 2024
Evolving Populations of Diverse RL Agents with MAP-Elites
ICLR 2023
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
ICLR 2023
Fast Population-Based Reinforcement Learning on a Single Machine
ICML 2022
Learning Compositional Neural Programs with Recursive Tree Search and Planning
NeurIPS 2019