Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning

NeurIPSSpotlight2025

Authors
Roger Creus Castanyer, Johan Obando-Ceron, Lu Li, Pierre-Luc Bacon, Glen Berseth, Aaron Courville, Pablo Samuel Castro
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Scaling deep reinforcement learning networks is challenging and often results in degraded performance, yet the root causes of this failure mode remain poorly understood…

Opening excerpt from the authors’ abstract. source

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Topics

reinforcement learning

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