Research

RAMP: Hybrid DRL for Online Learning of Numeric Action Models

RAMP unifies multiple deep RL techniques for real-time adaptation of continuous action models, enabling faster online learning in control systems without requiring model retraining.

Monday, April 13, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline

RAMP is a hybrid deep reinforcement learning method for online learning in continuous action spaces. The approach combines multiple RL techniques to adapt numeric action models in real-time.

Read original at arXiv CS.AI

Christian content creators are outsourcing AI slop to gig workers on Fiverr

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