A new framework enables large language models to develop 'Connect the Dots' capability, allowing long-lifecycle agents to learn from experiences and iteratively update their environment context. The framework uses reinforcement learning with long rollout sequences and custom tasks to promote cross-domain generalization, showing effective out-of-distribution performance in both domains and transition settings.
arxiv
arXiv cs.LG
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51d ago
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research
Training LLMs for Long-Lifecycle Agents via Cross-Domain Generalization
from English
Importance 2/3
New harness with differentiators
arXiv cs.LG
Allen AI
Cohere
Hugging Face
AI agents
Reasoning models
Training methods
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