EAU's three designs: hybrid user sim, evolving rewards, hot-swapped components
xiye_nlp · x · 2026-10-22
The author outlines EAU's core designs: Hybrid user—combining symbolic and LM simulation for controllability plus realistic interactions; Evolving rewards—dynamically refining reward functions; On-the-fly hot-swaps—modifying training components during RL without restarting from scratch, letting EAU keep improving the pipeline during training.
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