HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

Most common navigation tasks in human environments require auxiliary arm interactions, e.g. opening doors, pressing buttons and pushing obstacles away. This type of navigation tasks, which we call Interactive Navigation, requires the use of mobile manipulators: mobile bases with manipulation capabilities... (read more)

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METHOD TYPE
Entropy Regularization
Regularization
PPO
Policy Gradient Methods