Natural Value Approximators: Learning when to Trust Past Estimates

Zhongwen Xu, Joseph Modayil, Hado P. van Hasselt, Andre Barreto, David Silver, Tom Schaul

Nov-21-2025, 14:02:02 GMT–Neural Information Processing Systems

Furthermore, as the interpolation is learned and state-dependent, our method can deal with heterogeneous observability.

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

Neural Information Processing Systems

Nov-21-2025, 14:02:02 GMT

Conferences PDF

Country:
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.14)
- North America > United States
  - California > Los Angeles County
    - Long Beach (0.04)
  - Massachusetts > Hampshire County
    - Amherst (0.04)

Industry:
- Education (0.46)
- Leisure & Entertainment > Games (0.47)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Neural Networks > Deep Learning (0.70)
    - Reinforcement Learning (1.00)
    - Statistical Learning (0.93)
  - Representation & Reasoning (1.00)

Duplicate Docs Excel Report

Title
Natural Value Approximators: Learning when to Trust Past Estimates
Natural Value Approximators: Learning when to Trust Past Estimates

Similar Docs Excel Report more

Title	Similarity	Source
None found