Cdric Colas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CogSci | Language and Experience: A Computational Model of Social Learning in Complex Novel Tasks. | Cdric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Joshua B. Tenenbaum |
| 2025 | CogSci | Goal Inference using Reward-Producing Programs in a Novel Physics Environment. | Guy Davidson, Graham Todd, Cdric Colas, Junyi Chu, Julian Togelius, Joshua B. Tenenbaum, Todd M. Gureckis, Brenden M. Lake |
| 2025 | ICLR | When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings. | Jrmy Perez, Grgur Kovac, Corentin Lger, Cdric Colas, Gaia Molinaro, Maxime Derex, Pierre-Yves Oudeyer, Clment Moulin-Frier |
| 2025 | ICML | MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces. | Loris Gaven, Thomas Carta, Clment Romac, Cdric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer |
| 2025 | ICML | Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI. | Julien Pourcel, Cdric Colas, Pierre-Yves Oudeyer |
| 2024 | CogSci | What Should I Do Now? Goal-Centric Outlooks on Learning, Exploration, and Communication. | Cdric Colas, Junyi Chu, Gaia Molinaro, Robert Hawkins |
| 2024 | CogSci | Naturalistic Transmission of Causal Knowledge between Machines and Humans. | Cdric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Josh Tenenbaum |
| 2023 | ICML | Guiding Pretraining in Reinforcement Learning with Large Language Models. | Yuqing Du, Olivia Watkins, Zihan Wang, Cdric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas |
| 2021 | ICLR | Grounding Language to Autonomously-Acquired Skills via Goal Generation. | Ahmed Akakzia, Cdric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud |
| 2020 | GECCO | Scaling MAP-Elites to deep neuroevolution. | Cdric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune |
| 2020 | IJCAI | Automatic Curriculum Learning For Deep RL: A Short Survey. | Rmy Portelas, Cdric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer |
| 2019 | CoRL | Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. | Rmy Portelas, Cdric Colas, Katja Hofmann, Pierre-Yves Oudeyer |
| 2019 | ICLR | A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. | Cdric Colas, Olivier Sigaud, Pierre-Yves Oudeyer |
| 2019 | ICML | CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning. | Cdric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, Mohamed Chetouani |
| 2018 | ICML | GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. | Cdric Colas, Olivier Sigaud, Pierre-Yves Oudeyer |