CORE Planner fuses sparse visibility graphs and Transformer contextual memory in RL for unknown-environment robot navigation, claiming 13-48% shorter paths and zero-shot sim-to-real transfer.
CTSAC: Curriculum- based transformer soft actor-critic for goal-oriented robot ex- ploration,
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CORE Planner: Contextual-memory Oriented Reinforcement-learning in Unknown Environments for Robot Navigation
CORE Planner fuses sparse visibility graphs and Transformer contextual memory in RL for unknown-environment robot navigation, claiming 13-48% shorter paths and zero-shot sim-to-real transfer.