DeReAct: decomposed reasoning and acting for reliable AI agents
Read the original at arxiv.org→arXiv:2610.02351v1 Announce Type: new Abstract: ReAct-based agents typically rely on a single LLM policy to propose actions, interact with the environment, and decide when a task is complete. This coupling makes...
Original headline: "DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents"
Coverage timeline
- Oct 5, 04:00 UTC arXiv cs.AI lead source DeReAct: Decomposed Reasoning and Acting for Reliable AI Agents
- Oct 5, 04:00 UTC arXiv cs.AI Learning What to Investigate Next: Meta-Reasoning for Long-Horizon Research Agents