TLDRocket
Sign in
Latest Microsoft just shared Azure’s actual revenue in dollars: $33.2 billion — TechCrunch Google expands AI Search ads globally as core ad growth slows — TechCrunch AI for Science expands to foundations and research institutions — Anthropic Microsoft recorded $10 billion in revenue from OpenAI — TechCrunch Microsoft hits 10 quarters of record- breaking revenue in a row — TechCrunch Why Agents Love Supabase — Latent Space Cloudera expands its AI ecosystem with partnerships and packaged bluep... — SiliconANGLE Anthropic just launched tools to show companies what their AI spending... — TechCrunch

The AI intelligence platform

Every AI story that matters — and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Wednesday, 18 April 2018

Evolved Policy Gradients

OpenAI 8 years ago 13

Researchers released Evolved Policy Gradients, a method that automatically designs loss functions for training agents rather than using hand-crafted ones. Agents trained with EPG generalized to novel spatial navigation tasks, such as finding objects on opposite sides of rooms from their training experience. This approach enables faster learning on new tasks without requiring manual redesign of training objectives for each new problem.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.