Retro Contest
OpenAI's transfer learning contest reveals why generalization is the next frontier in RL.

Why it matters
OpenAI is using a public contest to benchmark reinforcement learning's ability to transfer knowledge across tasks—a critical capability gap that separates toy models from production AI. This signals where the research community should focus next.
The key facts
7 to knowTransfer learning contest launched by OpenAI
Focus: RL algorithm generalization from prior experience
Published April 5, 2018
Public benchmark/competition format
Tests capability: cross-task knowledge transfer in reinforcement learning
Focus: reinforcement learning algorithm generalization
Measures ability to apply previous experience to new tasks
Go to the source
OpenAI Blogopenai.com
Publisher excerpt: We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience.