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RL theory

Frans Oliehoek

Sequential Decision Making TU Delft Delft, Netherlands
multi-agent reinforcement learning decision making under uncertainty planning interactive learning

Oliehoek co-leads TU Delft’s Sequential Decision Making group and works on foundations of interactive learning and multi-agent decision making.

Pros

  • Recognised authority on multi-agent RL and Dec-POMDP foundations
  • Clear sequential-decision-making fit within the strong TU Delft/ELLIS ecosystem
  • Principled treatment of decision-making under uncertainty

Frans Oliehoek official page

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!