Training Language Model Agents via Hierarchical Multi-Turn RL
After pre-training and fine- tuning, LLMs can perform diverse downstream tasks based on human instructions, paving the way to artificial general.
HiAgent: Hierarchical Working Memory Management for Solving ...Abstract. Interactive multimodal agents must convert raw visual ob- servations into coherent sequences of language-conditioned. Understanding Self-Evolution in LLM Agents via Multi-Turn ... - RAGENThrough policy gradient optimiza- tion driven by trading rewards, our framework not only enhances LLM performance in trading but also improves results on other ... FLAG-TRADER: Fusion LLM-Agent with Gradient-based ...Reinforcement learning (RL) holds significant promise for training LLM agents to handle complex, goal-oriented tasks that require multi-step ...
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