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arXiv1d ago
4.8

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning

Lute Lillo, Nick Cheney

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorypaper
Topics
rltrainingagents

Opportunity Brief

Create a modular RL trainer that supports 'plasticity-preserving' updates, preventing model interference in multi-task scenarios.

Suggested repo: plastic-rl

"Don't let your RL agents lose what they learned."

Estimated effort: 50h