A hierarchical controller pairing a reinforcement-learned subgoal planner with a linear-inverted-pendulum walking controller improves simulated Digit humanoid navigation success over model-based and learning baselines.
Exact cell decomposition of arrangements used for path planning in robotics,
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Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation
A hierarchical controller pairing a reinforcement-learned subgoal planner with a linear-inverted-pendulum walking controller improves simulated Digit humanoid navigation success over model-based and learning baselines.