Worst-Case Regret Bounds for Exploration via Randomized Value Functions

Oct-2-2025, 15:29:10 GMT–Neural Information Processing Systems

This paper studies a recent proposal to use randomized value functions to drive exploration in reinforcement learning.

artificial intelligence, machine learning, reinforcement learning, (16 more...)

Neural Information Processing Systems

Oct-2-2025, 15:29:10 GMT

Conferences PDF

Country:
- Europe > United Kingdom > England (0.28)

Genre:
- Research Report (0.34)
- Overview (0.34)

Technology:
- Information Technology > Artificial Intelligence
  - Representation & Reasoning > Uncertainty (0.68)
  - Machine Learning
    - Learning Graphical Models (0.93)
    - Reinforcement Learning (0.91)

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Worst-Case Regret Bounds for Exploration via Randomized Value Functions

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