Horizon Reduction Makes RL Scalable

NeurIPSSpotlight2025

Authors
Seohong Park, Kevin Frans, Deepinder Mann, Benjamin Eysenbach, Aviral Kumar, Sergey Levine
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

In this work, we study the scalability of offline reinforcement learning (RL) algorithms…

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Topics

offline reinforcement learning reinforcement learning

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