Multi-Reward Best Policy Identification

Feb-17-2026, 21:23:02 GMT–Neural Information Processing Systems

This bound guides the design of an optimal exploration policy attaining minimal sample complexity. However, this lower bound involves solving a hard non-convex optimization problem.

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

Neural Information Processing Systems

Feb-17-2026, 21:23:02 GMT

Conferences PDF

Country:
- Europe
  - Netherlands > North Holland
    - Amsterdam (0.04)
  - Sweden > Stockholm
    - Stockholm (0.04)
- North America > United States
  - Texas > Travis County > Austin (0.04)

Genre:
- Research Report
  - Experimental Study (1.00)
  - New Finding (0.67)

Industry:
- Information Technology (0.92)
- Leisure & Entertainment > Games (0.67)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Learning Graphical Models > Undirected Networks
        Markov Models (0.46)
      - Neural Networks (0.92)
      - Reinforcement Learning (1.00)
    - Representation & Reasoning > Optimization (1.00)
    - Robots (1.00)
  - Communications > Networks (1.00)

Duplicate Docs Excel Report

Title
bec8b667016a73bb195b611aa1f41026-Paper-Conference.pdf

Similar Docs Excel Report more

Title	Similarity	Source
None found