Pierre-yves Oudeyer

30 papers · 2012–2025 · 9 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (59) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Diamond 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 👑 Triple Crown 🏆 Keyword Champion (7) 🔬 Deep Specialist (12) 🤝 Dynamic Duo (11) 🌈 Renaissance Researcher (8) 🔥 Unstoppable · Bronze ❓ The Questioner ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (143)

Venues

ICLR (7) ICML (7) NeurIPS (7) CoRL (3) NAACL (2) ACL (1) EMNLP (1) IJCAI (1) JMLR (1)

Top co-authors

Cédric Colas (11) Olivier Sigaud (8) Clément Moulin-Frier (5) Rémy Portelas (5) Thomas Carta (4) Clément Romac (4) Sylvain Lamprier (4) Katja Hofmann (4) Tristan Karch (3) Xingdi Yuan (3)

Research topics

Artificial Intelligence (21) Machine Learning (20) Core AI (18) Reinforcement Learning (16) Learning Types · Machine Learning (15) Methods (14) Deep Learning (9) Applications (5) Core Methods (5) Learning Paradigms · Artificial Intelligence (5) Learning Types · Deep Learning (5) Application Areas (4) Learning Paradigms · Machine Learning (4) Optimization & Theory (4) Natural Language Processing (3)

Keywords

intrinsic motivation (7) large language model (6) deep reinforcement learning (6) curriculum learning (3) representation learning (3) automatic curriculum learning (3) modular architecture (3) goal exploration (3) reinforcement learning (3) sparse reward (2) intrinsically motivated exploration (2) autotelic agent (2) unsupervised learning (2) learning progress (2) sample efficiency (2) autonomous learning (2) semantic representation (2) language grounding (2) question generation (2) procedural generation (2)

Papers

MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces ICML 2025 PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks ICLR 2025 Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? EMNLP 2025 Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting NAACL 2025 Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI ICML 2025 When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings ICLR 2025 ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NeurIPS 2024 Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NeurIPS 2024 Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning ICML 2023 Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation ACL 2023 Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language ICML 2022 Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents NAACL 2022 EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NeurIPS 2022 Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning JMLR 2022 Language-biased image classification: evaluation based on semantic representations ICLR 2022 Learning to Guide and to be Guided in the Architect-Builder Problem ICLR 2022 Grounding Language to Autonomously-Acquired Skills via Goal Generation ICLR 2021 Grounding Spatio-Temporal Language with Transformers NeurIPS 2021 TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021 Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020 Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems NeurIPS 2020 Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems ICLR 2020 Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration NeurIPS 2020 CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning ICML 2019 Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CoRL 2019 Curiosity Driven Exploration of Learned Disentangled Goal Spaces CoRL 2018 GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018 Sim-to-Real Transfer with Neural-Augmented Robot Simulation CoRL 2018 Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration ICLR 2018 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012