Scholar
Cédric Colas
Google Scholar ID: VBz8gZ4AAAAJ
Inria, MIT
Citations & Impact
Citations
2,324
H-index
19
i10-index
21
Publications
20
Co-authors
73
list available
Publications
Resume (English only)
Academic Achievements
- Published a perspective article on how agents can develop open-ended capabilities in rich socio-cultural environments.
Research Experience
- Currently working at MIT with Joshua Tenenbaum and Jacob Andreas, developing autotelic agents that learn from humans and others using program synthesis methods.
Education
- PhD: Flowers Lab; Supervisors: Pierre-Yves Oudeyer and Olivier Sigaud; Thesis: Towards Vygotskian Autotelic Agents: Learning Skills with Goals, Language and Intrinsically Motivated Deep Reinforcement Learning.
Background
- Research Interests: artificial open-ended learning and computational creativity; Specialization: intrinsically motivated agents (autotelic agents), skill discovery in rich socio-cultural environments.
Miscellany
- Beyond his research, he explores creative applications of algorithms through various side projects.
