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paperGoogle Scholar·25 Oct 2026·Y Zhou

A reinforcement learning-driven framework for real-time human-computer interaction: latency-aware composite reward optimization based on PPO

PPO with a latency-aware composite reward for real-time human-computer interaction.

Depth 2/5Score 3.08

Abstract

Journal of Engineering and Applied Science, 2026 - Springer. While Large Language Models (LLMs) exhibit remarkable zero-shot learning capabilities, their deployment in real-time interactive systems is constrained by sparse …