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Object navigation is defined as navigating to an object of a given label in a complex, unexplored environment.
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Target-driven visual navigation in indoor scenes using deep reinforcement learning
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Neural slam: Learning to explore with external memory
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Proximal policy optimization algorithms
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Gibson env: Real-world perception for embodied agents
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Soft actor-critic algorithms and applications
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Benchmarking classic and learned navigation in complex 3d environments
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DD-PPO: Learning near-perfect pointgoal navigators from 2.5 billion frames
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Visual semantic navigation using scene priors, 2019
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Visual representations for semantic target driven navigation
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Learning exploration policies for navigation
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Scene memory transformer for embodied agents in long-horizon tasks
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On evaluation of embodied navigation agents
P. Anderson, A. Chang, D. S. Chaplot, A. Dosovitskiy, S. Gupta, V. Koltun, J. Kosecka, J. Malik, R. Mottaghi, M. Savva, et al · 2018
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Semi-parametric topological memory for navigation
N. Savinov, A. Dosovitskiy, and V. Koltun · 2018
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Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
T. Haarnoja, A. Zhou, P. Abbeel, and S. Levine · 2018
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Gibson environment for embodied real-world active perception
A. Zamir, F. Xia, Z.-Y. He, and S. Sax · 2018
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PRM-RL: long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning
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Soft actor-critic algorithms and applications
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Tensorflow: A system for large-scale machine learning
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Habitat: A platform for embodied ai research
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3D scene graph: A structure for unified semantics, 3d space, and camera
I. Armeni, Z.-Y. He, J. Gwak, A. R. Zamir, M. Fischer, J. Malik, and S. Savarese · 2019
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Learning to navigate using mid-level visual priors
A. Sax, J. O. Zhang, B. Emi, A. Zamir, S. Savarese, L. Guibas, and J. Malik · 2020
Closest in time.
Learning to explore using active neural mapping
D. S. Chaplot, S. Gupta, D. Gandhi, A. Gupta, and R. Salakhutdinov · 2020
Closest in time.