Cédric Colas
12 papers · 2018–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (32)
🧬
Topic Evolution
🤝
Dynamic Duo
(11)
🗃️
Keyword Collector
(61)
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(8)
Reinforcement Learning
(8)
Core AI
(7)
Methods
(7)
Deep Learning
(5)
Learning Types · Machine Learning
(5)
Learning Paradigms · Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Applications
(3)
Learning Paradigms · Machine Learning
(3)
Application Areas
(2)
Computer Science
(1)
Computer Vision
(1)
Interdisciplinary
(1)
Keywords
intrinsic motivation
(5)
deep reinforcement learning
(3)
curriculum learning
(3)
hindsight learning
(2)
goal generation
(2)
autotelic agent
(2)
modular architecture
(2)
large language model
(2)
language model
(2)
code generation
(1)
exploration-exploitation tradeoff
(1)
hierarchical reinforcement learning
(1)
autonomous learning
(1)
in-context learning
(1)
sample efficiency
(1)
language understanding
(1)
language grounding
(1)
gaussian mixture model
(1)
generative model
(1)
procedural generation
(1)
Papers
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
ICML 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
Guiding Pretraining in Reinforcement Learning with Large Language Models
ICML 2023
Grounding Language to Autonomously-Acquired Skills via Goal Generation
ICLR 2021
Automatic Curriculum Learning For Deep RL: A Short Survey
IJCAI 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
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
ICML 2018