Learning Affordance Landscapes forInteraction Exploration in 3D Environments

Tushar Nagarajan
Tushar Nagarajan
Cited by: 0|Bibtex|Views33
Other Links: arxiv.org

Abstract:

Embodied agents operating in human spaces must be able to master how their environment works: what objects can the agent use, and how can it use them? We introduce a reinforcement learning approach for exploration for interaction, whereby an embodied agent autonomously discovers the affordance landscape of a new unmapped 3D environment ...More

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