Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks?
The results show that zero-shot LLM agents can achieve comparable management outcomes to RL agents under the same weather pattern and adapt more effectively than RL when evaluated under a shifted environment, highlighting a promising path toward self-adaptive physical AI agents.
V. Kaushik, Ya-Yun Tan, Xiao-Fan Yu
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