Agentic Multi-Turn Reasoning: A Fairness Approach
Recent advances in Large Language Models (LLMs) have enabled agentic systems capable of solving complex tasks through multi-turn planning, tool use, verification, and memory updates. However, learning agentic systems remains difficult due to two fundamental challenges, i.e., (1) long-horizon credit assignment, where su...
Thanh-Dat Truong, Sankalp Pandey, Hugh Churchill et al.
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