← Authors

Pierre-yves Oudeyer

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

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (8) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (11) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (108) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (30) ❓ The Questioner ⚑ Prolific Year (6) πŸš€ Conference Pioneer

Conferences

ICLR (7) ICML (7) NIPS (7) CORL (3) NAACL (2) ACL (1) EMNLP (1) IJCAI (1) JMLR (1)

Top co-authors

CΓ©dric Colas (11) Olivier Sigaud (8) ClΓ©ment Moulin-Frier (5) RΓ©my Portelas (5) Thomas Carta (4) ClΓ©ment Romac (4) Sylvain Lamprier (4) Katja Hofmann (4) Tristan Karch (3) Xingdi Yuan (3)

Research topics

Generation (1) Applications (1) Applications (1) Systems (1) Applications (1) Applications (1)

Keywords

intrinsic motivation (6) deep reinforcement learning (6) large language model (4) modular architecture (3) automatic curriculum learning (3) reinforcement learning (3) curriculum learning (2) sample efficiency (2) procedural generation (2) question generation (2) autonomous learning (2) sparse reward (2) code generation (1) text generation (1) sim-to-real transfer (1) prompt engineering (1) question answering (1) representation learning (1) in-context learning (1) language understanding (1)

Papers

Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? EMNLP 2025
When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings ICLR 2025
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI ICML 2025
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
PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks ICLR 2025
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NIPS 2024
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NIPS 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
Language-biased image classification: evaluation based on semantic representations ICLR 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL NIPS 2022
Learning to Guide and to be Guided in the Architect-Builder Problem ICLR 2022
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language ICML 2022
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning JMLR 2022
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents NAACL 2022
Grounding Language to Autonomously-Acquired Skills via Goal Generation ICLR 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021
Grounding Spatio-Temporal Language with Transformers NIPS 2021
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems NIPS 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 NIPS 2020
Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 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
Sim-to-Real Transfer with Neural-Augmented Robot Simulation CORL 2018
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
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NIPS 2012