[KongchangAI]
Unverified50% confidenceFactExact time

IAFTRL's regret upper bound in adversarial environments is ~O(√T), of the same order as the optimal bound for purely adversarial linear bandit algorithms.

1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen

Sources

Related Entities

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/1128909
API
curl https://kongchang.com/api/v1/knowledge/claims/1128909
MCP
get_claim(id=1128909)