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African Institute for Mathematical Sciences
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LLM-derived rewards can maintain optimal policy invariance even when the feedback is inaccurate, challenging the limitations of conventional reward shaping methods.
Hybrid agents that combine LLM-driven planning with RL optimization achieve superior performance in complex decision-making tasks, outperforming traditional methods.
