Training Language Agents to Learn from Experience

📰 ArXiv cs.AI

Learn how to train language agents to learn from experience and improve performance on future tasks using In-context Training (ICT)

advanced Published 21 May 2026
Action Steps
  1. Build a language agent using a framework like RAG
  2. Run the agent in an interactive environment to collect experience data
  3. Configure the In-context Training (ICT) task to evaluate cross-task self-improvement
  4. Test the agent's performance on unseen tasks
  5. Apply the ICT framework to distill experience into reusable lessons
Who Needs to Know This

AI engineers and researchers on a team can benefit from this knowledge to develop more efficient language agents, while product managers can use it to improve chatbot performance

Key Insight

💡 Language agents can learn from experience and improve performance on future tasks using ICT

Share This
💡 Train language agents to learn from experience with In-context Training (ICT)!

Key Takeaways

Learn how to train language agents to learn from experience and improve performance on future tasks using In-context Training (ICT)

Read full paper → ← Back to Reads

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