Cédric Colas
12 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🗺️ Taxonomy Completionist (10) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🗺️
Taxonomy Completionist
(10)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(5)
🤝
Dynamic Duo
(11)
📈
Trend Setter
💎
Century Club
(12)
Conferences
ICML (5)
NIPS (3)
ICLR (2)
CORL (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
intrinsic motivation
(4)
deep reinforcement learning
(3)
curriculum learning
(2)
modular architecture
(2)
in-context learning
(1)
code generation
(1)
sample efficiency
(1)
latent learning
(1)
hierarchical reinforcement learning
(1)
exploration-exploitation tradeoff
(1)
autonomous learning
(1)
language understanding
(1)
generative model
(1)
gaussian mixture model
(1)
zero-shot generalization
(1)
language model
(1)
goal-conditioned policy
(1)
goal selection
(1)
procedural generation
(1)
policy gradient
(1)
Papers
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
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
ICML 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
Guiding Pretraining in Reinforcement Learning with Large Language Models
ICML 2023
Grounding Language to Autonomously-Acquired Skills via Goal Generation
ICLR 2021
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
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
CORL 2019
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
ICML 2019
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
ICML 2018