Olivier Sigaud
13 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🧬 Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(72)
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
💎
Century Club · Bronze
Top co-authors
Research topics
Reinforcement Learning
(10)
Methods
(10)
Artificial Intelligence
(9)
Machine Learning
(7)
Core AI
(7)
Learning Types · Machine Learning
(5)
Deep Learning
(4)
Learning Types · Deep Learning
(4)
Applications
(3)
Learning Paradigms
(3)
Core Methods
(2)
Robotics
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Capabilities
(1)
Keywords
reinforcement learning
(5)
curriculum learning
(3)
large language model
(2)
intrinsic motivation
(2)
goal generation
(2)
multi-goal reinforcement learning
(2)
sparse reward
(2)
intrinsically motivated exploration
(2)
language-conditioned reinforcement learning
(2)
policy gradient
(1)
language grounding
(1)
semantic representation
(1)
bayesian model
(1)
exploration-exploitation tradeoff
(1)
imitation learning
(1)
contrastive learning
(1)
question generation
(1)
learning progress
(1)
program synthesis
(1)
sample efficiency
(1)
Papers
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
ICML 2025
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting
NAACL 2025
Bridging Environments and Language with Rendering Functions and Vision-Language Models
ICML 2024
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
ICML 2023
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
ICML 2023
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
NeurIPS 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
NeurIPS 2022
Grounding Language to Autonomously-Acquired Skills via Goal Generation
ICLR 2021
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
ICML 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning
NeurIPS 2019
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
ICML 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
ICLR 2018
Tensor Based Knowledge Transfer Across Skill Categories for Robot Control
IJCAI 2017