Temp-R1 uses reverse curriculum reinforcement learning to train an autonomous agent that achieves state-of-the-art results on temporal KGQA benchmarks by developing sophisticated reasoning on hard questions first.
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Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning
Temp-R1 uses reverse curriculum reinforcement learning to train an autonomous agent that achieves state-of-the-art results on temporal KGQA benchmarks by developing sophisticated reasoning on hard questions first.