2026
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
ICLR 2026poster
The success of LLMs has sparked interest in various agentic applications. A key hypothesis is that LLMs, leveraging common sense and Chain-of-Thought (CoT) reasoning, can effectively explore and efficiently solve complex domains. However, LLM agents have been found to suffer from sub-optimal explor…