Score Centering Proposed as Fix for Instability in Reinforcement Learning Training

A new analysis explains why reinforcement learning training becomes unstable and presents score centering as a simple method to address the problem.

Read the full story at Deep (Learning) Focus (Cameron Wolfe) ↗

Timeline · 1 report

2026-11-09 10:33 · Deep (Learning) Focus (Cameron Wolfe)
Score Centering: Understanding and Fixing Instability in RL

More stories

Nvidia Board Opens Independent Probe After CEO Jensen Huang Admits Affair — Axios AI+
Anthropic launches Claude Personal Finance with read-only bank access in the US — Engadget
STATERA Library adds chapters 18–25 to AMR AI and Embodied Intelligence volume in Korean — DEV Community — AI
NVIDIA Announces Planned Investments in Korean Startups at MSIT Partnership Forum — NVIDIA Blog
NVIDIA, Rebellions and SK Telecom partner on Korea's sovereign AI infrastructure — NVIDIA Newsroom
Anthropic agrees $3.4bn deal for gas-fired generators to power AI data centres — Financial Times AI
Asian markets bounce back after a recovery for AI stocks on Wall Street — The Globe and Mail
Effective Altruism Movement Seeks to Reshape Its Public Image Amid AI Criticism — Barron's

Get the daily brief of stories like this at 6:30 every morning →