Uploaded March 2023 | Updated September 2026, 3 days ago
This video describes the Action Adaptive Policy by Zeng et al. (ICLR 2023). In the video, we discuss the formulation of motion drifts in point navigation and object navigation tasks. Additionally, we introduce the Action Adaptive Policy (AAP) to address these motion drifts. Finally, we demonstrate that AAP performs well when facing unseen drifts during inference in RoboTHOR, Habitat, PettingZoo, and a real-world RoboTHOR test scene.
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The voiceover for this video was generated from text-to-speech with WellSaid Labs: wellsaidlabs.com
This video describes the Action Adaptive Policy by Zeng et al. (ICLR 2023). In the video, we discuss the formulation of motion drifts in point navigation and object navigation tasks. Additionally, we introduce the Action Adaptive Policy (AAP) to address these motion drifts. Finally, we demonstrate that AAP performs well when facing unseen drifts during inference in RoboTHOR, Habitat, PettingZoo, and a real-world RoboTHOR test scene.
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The voiceover for this video was generated from text-to-speech with WellSaid Labs: wellsaidlabs.com










