AlphaZero
Creator not supplied; see original source.
arXiv paper (2017) introducing AlphaZero, mastering chess and shogi through self-play reinforcement learning.
- Level
- Advanced–Expert
- Models
- Category
- Foundations
- Tags
- non-llm-neural-networks-ml-foundations, reinforcement-learning
- Source date
- date not stated
- Added
- 2026-10-18
- Last verified
- 2026-10-18
- Status
- ok
- Prerequisites
- inferred: research paper default
- Subcategory
- llm fundamentals
- Region
- unknown
- Original language
- en
- Access
- free
- Resource reuse
- unknown: Not supplied; no reuse grant asserted. Facet definitions
- Verification basis
- Supplier-reported live check; no independent HTTP verification by this site.
- Access evidence
- Supplier-approved free inventory; not independently verified by this site.
- Source domain
- Non-LLM neural networks & ML foundations
- Source subdomain
- reinforcement learning
- Supplier region label
- West
Summary in our own words. Rights remain with the original creator. Credit and correction policy.