← Knowledge Base

Concept

Reset-Free Learning

Learning in non-stationary environments that cannot be reset and replayed in parallel — where each rollout interacts irreversibly with the real world and the reward may take months or years to materialize.

Tensions

A known-open problem in RL. Most economically valuable skills (running a business, litigation, politics, trading) are reset-free, so the farmable-simulator trick that works for coding — and eventually computer use — doesn't apply. That forces reliance on sample efficiency rather than parallel grinding.

Related Concepts

RL environments | sample efficiency | real-to-sim gap

1 sources

Last updated: Jun 30, 2026