neuroRL
Máté Lengyel
learning and memory
reinforcement learning
Bayesian computation
representation learning
The group studies learning and memory from computational, algorithmic, and neurobiological viewpoints, including reinforcement learning ideas.
Pros
- Highly prestigious Cambridge learning-and-memory lab with high-impact work
- Strong Bayesian-computation and learning-and-memory contributions
- Genuine RL-and-memory relevance within an elite environment
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!