Analysis
This article highlights exciting advancements in addressing "catastrophic forgetting," a key limitation preventing AI from truly learning and growing. The discussed research, particularly JitRL and FGGM, shows great promise in enabling AI to retain and build upon its knowledge, moving beyond simple memorization.
Key Takeaways
- •New research tackles "catastrophic forgetting," where AI forgets old knowledge when learning new things.
- •JitRL is a new technique that allows AI to improve its abilities without forgetting past learned information.
- •FGGM uses Fisher information to determine which parameters are important and should be protected during learning.
Reference / Citation
View Original"Just-In-Time Reinforcement Learning (JitRL) improves policy without updating parameters at all."
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