November 2016

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Edition · November 2016

k.Frontier
FrontierOpenAI Blog
KeyRank 62

RL²: Fast reinforcement learning via slow reinforcement learning

OpenAI demonstrates a foundational capability for AI agents: meta-learning through reinforcement learning. RL² shows that models can be trained to rapidly adapt to new tasks without retraining, a critical breakthrough for practical AI deployment at scale.

Why it ranks · · RL² (reinforcement learning squared) architecture enables fast task adaptation · November 2016

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The six pillarsRanked by KeyRank · this month

Frontier

50% share

Models, benchmarks, the lab race. · 1 story

  1. 1RL²: Fast reinforcement learning via slow reinforcement learning62

Tools

quiet today

The AI products people actually use. · 0 stories

  1. Nothing cleared the bar today.

Agents

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Autonomous systems in the wild. · 0 stories

  1. Nothing cleared the bar today.

Money

50% share

Funding, M&A, valuations, earnings. · 1 story

  1. 1OpenAI and Microsoft45

Chips

quiet today

Silicon, racks, the compute buildout. · 0 stories

  1. Nothing cleared the bar today.

Work

quiet today

Jobs, industries, people & policy. · 0 stories

  1. Nothing cleared the bar today.

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