← Authors

Olivier Sigaud

13 papers · 2017–2025 · 5 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (18) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (54) πŸ“ˆ Trend Setter πŸ’Ž Century Club (13) πŸ”₯ Unstoppable (5) πŸš€ Conference Pioneer

Conferences

ICML (6) NIPS (3) ICLR (2) IJCAI (1) NAACL (1)

Top co-authors

Pierre-yves Oudeyer (8) Sylvain Lamprier (5) Thomas Carta (4) CΓ©dric Colas (4) ClΓ©ment Romac (3) Mohamed CHETOUANI (3) Ahmed Akakzia (1) Hugo Caselles-DuprΓ© (1) Karim Beguir (1) Nando de Freitas (1)

Keywords

reinforcement learning (5) sparse reward (2) large language model (2) curriculum learning (2) multi-goal reinforcement learning (2) monte carlo tree search (1) exploration-exploitation tradeoff (1) policy gradient (1) bayesian model (1) question generation (1) imitation learning (1) robot control (1) program synthesis (1) online reinforcement learning (1) intrinsic motivation (1) question answering (1) goal-conditioned reinforcement learning (1) reward shaping (1) intrinsic reward (1) sample efficiency (1)

Papers

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting NAACL 2025
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces ICML 2025
Bridging Environments and Language with Rendering Functions and Vision-Language Models ICML 2024
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning ICML 2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning ICML 2023
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments NIPS 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NIPS 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 NIPS 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