Author

Ke Mu

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Preprint Oct 2026

LERR-Nav: Learning to Coordinate Exploration, Recovery, and Reminiscing for Object Navigation

This work proposes LERR-Nav, an object navigation framework that coordinates exploration, recovery, and reminiscing through a learned high-level policy and comprises four complementary navigation strategies: value-function-guided exploration, LLM-guided exploration, recovery from stalled or repetitive behavior, and mem...

Jing-Zhi Huang, Jun-Kai Huang, Yu-Hang Peng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

PTC-Decoder: Towards Intelligent SLMs on Offline Resource-Constrained Edge Devices

PTC-Decoder (Plan-Tool Constrained Decoder), a training-free, plug-and-play decoder framework that combines a Plan-to-Act paradigm and a deterministic finite automaton that imposes token-level hard constraints on tool names while preserving freedom over parameter generation, thereby retaining SLM reasoning capability,...

Ming-Hui Yu, Ke Mu, Gang Wu · 0 citations