Tan Le

Quantum Representation Learning for Reinforcement Learning in Robot Navigation

Reinforcement learning for robot navigation requires representations that capture spatial geometry, long-horizon dependencies, and goal-conditioned structure. Classical neural networks provide flexible function approximators, but their representations are ultimately limited by classical feature transformations. We inve...