Animal navigation research posits that organisms build and maintain inte...
We study ObjectGoal Navigation - where a virtual robot situated in a new...
We present Variable Experience Rollout (VER), a technique for efficientl...
Can an autonomous agent navigate in a new environment without building a...
We propose a novel architecture and training paradigm for training reali...
We present the Habitat-Matterport 3D (HM3D) dataset. HM3D is a large-sca...
We present Megaverse, a new 3D simulation platform for reinforcement lea...
We introduce Habitat 2.0 (H2.0), a simulation platform for training virt...
ObjectGoal Navigation (ObjectNav) is an embodied task wherein agents are...
We accelerate deep reinforcement learning-based training in visually com...
PointGoal navigation has seen significant recent interest and progress,
...
We introduce a learning-based approach for room navigation using semanti...
PointGoal Navigation is an embodied task that requires agents to navigat...
We revisit the problem of Object-Goal Navigation (ObjectNav). In its sim...
We develop a language-guided navigation task set in a continuous 3D
envi...
Recent advances in deep reinforcement learning require a large amount of...
Does progress in simulation translate to progress in robotics? Specifica...
We present Decentralized Distributed Proximal Policy Optimization (DD-PP...
We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor s...
To help bridge the gap between internet vision-style problems and the go...
We present Habitat, a new platform for research in embodied artificial
i...
This paper presents a novel algorithm that utilizes a 2D floorplan to al...