The most up-to-date list of publications can be found on my Google Scholar page. My extended CV is here.

Thesis

• Colas, Cédric. (2021).
  Towards Vygotskian Autotelic Agents: Learning Skills with Goals, Language and Intrinsically Motivated Deep Reinforcement Learning.
  Received the PhD Thesis Award 2022 from the French AI association.
  [Slides of the PhD defense] [Video].

Articles

Intrinsically Motivated Open-Ended Learning

• Pourcel, J., Colas, C., Oudeyer, P-Y. & Teodorescu, L. (2023).
  ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors (preprint).
• Du, Y., Watkins, O., Wang, Z., Colas, C., Darrell, T., Abbeel, P., Gupta, A. & Andreas, J. (2023).
  Guiding Pretraining in Reinforcement Learning with Large Language Models. ICML 2023.
• Colas, C., Teodorescu, L., Oudeyer, P.-Y., Xingdi Y. & Côté M-A. (2023).
  Augmenting Autotelic Agents with Large Language Models. CoLLAs 2023.
• Akakzia, A., Serris, O., Sigaud, 0. & Colas, C. (2022).
  Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents (preprint). [Code].
• Akakzia A., Colas, C., Oudeyer, P-Y., Chetouani, M. & Sigaud, O. (2020).
  Grounding Language to Autonomously-Acquired Skills via Goal Generation (ICLR 2021). [Code].
• Colas, C., Karch, T., Lair, N., Dussoux, J. M., Moulin-Frier, C., Dominey, P. F., & Oudeyer, P. Y. (2020).
  Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration (NeurIPS 2020). [Talk] [Code].
• Lair, N., Colas, C., Portelas, R., Dussoux, J. M., Dominey, P. F., & Oudeyer, P. Y. (2019).
  Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. (Visually Grounded Interaction and Language NeurIPS workshop, 2019).
• Portelas, R., Colas, C., Hofmann, K., & Oudeyer, P. Y. (2019).
  Teacher Algorithms for Curriculum Learning of Deep RL in Continuously Parameterized Environments. (CoRL 2019). [Code].
• Colas, C., Sigaud, O., Oudeyer, P. Y. (2018).
  CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning. (ICML 2019). [Video] [Talk] [Code].
• Fournier, Colas, C., Chetouani, M., & P., Sigaud, O. (2019).
  CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments (IEEE Transactions on Cognitive and Developmental Systems).
• Colas, C., Sigaud, O., Oudeyer, P.. (2018).
  GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms (ICML 2018). [Talk] [Code].

Perspectives and Reviews

• Sigaud, O., Baldassarre, G., Colas, C., Doncieux, S., Duro, R., Oudeyer, P-Y., Perrin-Gilbert, N.& Santucci, V.G. (2023).
  A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents (preprint).
• Sigaud, O., Caselles-Dupré, H., Colas, C., Akakzia A., Oudeyer, P-Y. & Chetouani, M. (2021).
  Towards Teachable Autotelic Agents (IEEE Transactions on Cognitive and Developmental Systems).
• Colas, C., Karch, T., Moulin-Frier, C. & Oudeyer, P. Y. (2022). Language and Culture Internalization for Human-Like AI (Nature Machine Intelligence). [Slides].
• Colas, C., Karch, T., Sigaud, O. & Oudeyer, P-Y. (2021).
  Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey (Journal of AI Research).
• Portelas, R., Colas, C., Weng, L., Hofmann, K., Oudeyer, P. Y. (2020).
  Automatic Curriculum Learning For Deep RL: A Short Survey (IJCAI 2020). [Talk].

Optimization and Epidemiology

• Colas, C., Hejblum, B., Rouillon, S., Thiébaut, R., Oudeyer, P-Y., Moulin-Frier, C. & Prague, M. (2020).
  EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models (Journal of AI Research). [Slides] [Demo] [Code].

Evolutionary Computation

• Pourcel, J., Colas, C., Oudeyer, P-Y. & Teodorescu, L. (2023).
  ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors (preprint).
• Colas, C., Huizinga, J., Madhavan, V., & Clune, J. (2020).
  Scaling MAP-Elites to Deep Neuroevolution (GECCO 2020). [Slides] [Talk] [Code].

Misc AI

• Kovac, G., Sawayama, M., Portelas, R., Colas, C., Dominey, P.F. & Oudeyer, P-Y (2023). Large Language Models as a Superpositions of Cultural Perspectives (preprint).

Statistics for RL

• Colas, C., Sigaud, O., Oudeyer, P-Y. (2019).
  A Hitchhiker’s Guide to Statistical Comparisons of Reinforcement Learning Algorithms (preprint). [Code].
• Colas, C., Sigaud, O., Oudeyer, P-Y. (2018).
  How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments. (preprint).

Brain-Computer Interfaces

• Ortega, P., Colas, C., & Faisal, A.A. (2018).
  Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. (IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), 2018).

Digital Art

• Colas, C. (2022).
  TastyPiano: A Subjective Sound–Taste Synesthetic Machine. (preprint).