Policy-Conditioned UncertaintySetsfor RobustMarkovDecisionProcesses

Feb-13-2026, 10:05:30 GMT–Neural Information Processing Systems

What policy should be employed in a Markov decision process with uncertain parameters?

artificial intelligence, machine learning, reinforcement learning, (17 more...)

Neural Information Processing Systems

Feb-13-2026, 10:05:30 GMT

Conferences PDF

Country:
- Europe
  - Switzerland > Zürich
    - Zürich (0.04)
  - United Kingdom
    - England > Cambridgeshire
      - Cambridge (0.04)
    - Scotland > City of Edinburgh
      - Edinburgh (0.04)
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States > Pennsylvania
    - Allegheny County > Pittsburgh (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models (0.49)
    - Reinforcement Learning (0.47)
  - Representation & Reasoning (1.00)

Duplicate Docs Excel Report

Title
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes Andrea Tirinzoni Politecnico di Milano andrea.tirinzoni@polimi.it Xiangli Chen Amazon Robotics
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes

Similar Docs Excel Report more

Title	Similarity	Source
None found