RL
Pierre-Yves Oudeyer
intrinsically motivated reinforcement learning
curiosity-driven learning
developmental robotics
open-ended learning
FLOWERS studies open-ended development and learning, including curiosity-driven and intrinsically motivated deep reinforcement learning for developmental learning, robotics, and cognitive science.
Pros
- World-leading pioneer of intrinsic-motivation and curiosity-driven RL
- ERC funding, high impact and strong Inria visibility
- Genuine deep-RL relevance (open-ended, autotelic agents)
A quick heads-up: This list is a work in progress! The focus tags and pros are AI-generated, so they might occasionally miss the mark. If you spot any missing labs, notice an error, or have ideas for improvements, please feel free to open a pull request. We’d love your help making this better!