RL
Marcello Restelli
reinforcement learning algorithms
multi-armed bandits
multi-agent reinforcement learning
inverse reinforcement learning
Restelli leads reinforcement learning research at Politecnico di Milano, spanning RL algorithms, bandits, multi-agent RL, inverse RL, and real-world decision-making problems.
Pros
- Dedicated, prolific RL lab covering algorithms, bandits, multi-agent and inverse RL
- Strong PhD pipeline that has produced several notable RL researchers
- Excellent core-RL topical fit
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!