A quantum-enhanced spiking Q-network is reported to outperform classical, spiking, and quantum-dense baselines in small grid-world navigation, with gains that are small relative to the reported error bars.
Deep reinforcement learning based mobile robot navigation: A review
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 3years
2026 3representative citing papers
A hybrid navigation system uses offline HJ reachability computations as heuristics and safety constraints within graph search to achieve faster and safer robot movement in complex indoor environments.
Hybrid RL-DWA controller for adaptive 3D navigation and deformation of multi-DoF robots in simulated vascular networks outperforms pure RL and model-based methods across 1080 trials.
citing papers explorer
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Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation
A quantum-enhanced spiking Q-network is reported to outperform classical, spiking, and quantum-dense baselines in small grid-world navigation, with gains that are small relative to the reported error bars.
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A Hamilton-Jacobi Reachability-Guided Search Framework for Efficient and Safe Indoor Planar Robot Navigation
A hybrid navigation system uses offline HJ reachability computations as heuristics and safety constraints within graph search to achieve faster and safer robot movement in complex indoor environments.
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3D RL-DWA: A Hybrid Reinforcement Learning and Dynamic Window Approach for Goal-Directed Local Navigation in Multi-DoF Robots
Hybrid RL-DWA controller for adaptive 3D navigation and deformation of multi-DoF robots in simulated vascular networks outperforms pure RL and model-based methods across 1080 trials.