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Yijiang Li

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Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing

EBM-RL (Eye--Brain--Mouth Reinforcement Learning), a decoupled GRPO-based framework that separates observation (), reasoning (), and utterance generation, mimics the human See-Think-Speak process, enabling the model to ground dialogue in visual perception before reasoning and response generation.

Miaosen Wang, Yu-Ling Shi, Yijiang Li et al. · 0 citations
Jul 2026

VLN-AVP: Zero-Shot Vision-Language Navigation with Hybrid Long-Short-Term Memory for Autonomous Valet Parking

VLN-AVP is proposed, a zero-shot navigation framework for AVP tasks that eliminates the dependency on pre-built maps, interprets semantic environmental contexts in parking scenarios, and enables intuitive navigation following natural language instructions and introduces a hybrid memory system.

Yijiang Li, Xiangru Mu, Changze Li et al. · 0 citations

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