#OnlineLearningAI

[bharatpatel1061]

Continual Learning in AI Agents: Staying Relevant Over Time

AI agents operating in dynamic environments must evolve—continual learning allows them to update without retraining from scratch.

Benefits of Continual Learning:

Adapts to new user behaviors or preferences.

Incorporates updated knowledge (e.g., policy changes, new tools).

Reduces drift between training and deployment environments.

Challenges:

Catastrophic forgetting of older knowledge.

Managing version history and safe rollbacks.

Balancing online updates with stability.

Explore how continual learning is applied in production-ready AI agents to enable long-term use without full retraining.

Combine episodic memory with time-stamped feedback—agents learn faster and retain what matters.