Fetching the paper…
Reading the bibliography…
We introduce a neural architecture for navigation in novel environments.
Psychological review
Tolman, E.C.: Cognitive maps in rats and men · 1948
Earlier work this paper cites.
Tech. rep., DTIC Document (1957)
Bellman, R.: A markovian decision process · 1957
Earlier work this paper cites.
Jacobson, D.H., Mayne, D.Q.: Differential dynamic programming (1970)
1970
Earlier work this paper cites.
IJRR (1986)
Khatib, O.: Real-time obstacle avoidance for manipulators and mobile robots · 1986
Earlier work this paper cites.
RA (1987)
Elfes, A.: Sonar-based real-world mapping and navigation · 1987
Earlier work this paper cites.
MIT press (1988)
Canny, J.: The complexity of robot motion planning · 1988
Earlier work this paper cites.
Computer (1989)
Elfes, A.: Using occupancy grids for mobile robot perception and navigation · 1989
Earlier work this paper cites.
Robotics and autonomous systems (1991)
Kuipers, B., Byun, Y.T.: A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations · 1991
Earlier work this paper cites.
RA (1996)
Kavraki, L.E., Svestka, P., Latombe, J.C., Overmars, M.H.: Probabilistic roadmaps for path planning in high-dimensional configuration spaces · 1996
Earlier work this paper cites.
Neural computation (1997)
Hochreiter, S., Schmidhuber, J.: Long short-term memory · 1997
Earlier work this paper cites.
In: Computational Intelligence in Robotics and Automation, 1997. CIRA’97., Proceedings., 1997 IEEE International Symposium on (1997)
Yamauchi, B.: A frontier-based approach for autonomous exploration · 1997
Earlier work this paper cites.
In: ECCV (1998)
Davison, A.J., Murray, D.W.: Mobile robot localisation using active vision · 1998
Earlier work this paper cites.
In: Algorithmic and Computational Robotics: New Directions (2000)
Lavalle, S.M., Kuffner Jr, J.J.: Rapidly-exploring random trees: Progress and prospects · 2000
Earlier work this paper cites.
In: NIPS (2003)
Kim, H., Jordan, M.I., Sastry, S., Ng, A.Y.: Autonomous helicopter flight via reinforcement learning · 2003
Earlier work this paper cites.
In: NIPS (2003)
Toussaint, M.: Learning a world model and planning with a self-organizing, dynamic neural system · 2003
Earlier work this paper cites.
In: ICRA (2004)
Kohl, N., Stone, P.: Policy gradient reinforcement learning for fast quadrupedal locomotion · 2004
Earlier work this paper cites.
In: ICINCO (2004)
Li, W., Todorov, E.: Iterative linear quadratic regulator design for nonlinear biological movement systems · 2004
Earlier work this paper cites.
In: CVPR (2004)
Nistér, D., Naroditsky, O., Bergen, J.: Visual odometry · 2004
Earlier work this paper cites.
MIT press (2005)
Thrun, S., Burgard, W., Fox, D.: Probabilistic robotics · 2005
Earlier work this paper cites.
Neural networks (2008)
Peters, J., Schaal, S.: Reinforcement learning of motor skills with policy gradients · 2008
Earlier work this paper cites.
IJCV (2008)
Snavely, N., Seitz, S.M., Szeliski, R.: Modeling the world from internet photo collections · 2008
Earlier work this paper cites.
In: CVPR (2009)
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: A large-scale hierarchical image database · 2009
Earlier work this paper cites.
Journal of Field Robotics (2009)
Hadsell, R., Sermanet, P., Ben, J., Erkan, A., Scoffier, M., Kavukcuoglu, K., Muller, U., LeCun, Y.: Learning long-range vision for autonomous off-road driving · 2009
Earlier work this paper cites.
In: ISER (2010)
Henry, P., Krainin, M., Herbst, E., Ren, X., Fox, D.: Rgb-d mapping: Using depth cameras for dense 3d modeling of indoor environments · 2010
Earlier work this paper cites.
IJRR (2010)
Konolige, K., Bowman, J., Chen, J., Mihelich, P., Calonder, M., Lepetit, V., Fua, P.: View-based maps · 2010
Earlier work this paper cites.
Logic Journal of IGPL (2010)
Wierstra, D., Förster, A., Peters, J., Schmidhuber, J.: Recurrent policy gradients · 2010
Earlier work this paper cites.
UIST (2011)
Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A., Fitzgibbon, A.: KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera · 2011
Cited alongside, same era.
In: NIPS (2011)
Koppula, H., Anand, A., Joachims, T., Saxena, A.: Semantic labeling of 3d point clouds for indoor scenes · 2011
Cited alongside, same era.
In: AISTATS (2011)
Ross, S., Gordon, G.J., Bagnell, D.: A reduction of imitation learning and structured prediction to no-regret online learning · 2011
Cited alongside, same era.
In: IROS (2012)
Fraundorfer, F., Heng, L., Honegger, D., Lee, G.H., Meier, L., Tanskanen, P., Pollefeys, M.: Vision-based autonomous mapping and exploration using a quadrotor mav · 2012
Cited alongside, same era.
IEEE Transactions on Robotics (2013)
Aydemir, A., Pronobis, A., Göbelbecker, M., Jensfelt, P.: Active visual object search in unknown environments using uncertain semantics · 2013
Cited alongside, same era.
In: CVPR (2013)
Gupta, S., Arbeláez, P., Malik, J.: Perceptual organization and recognition of indoor scenes from RGB-D images · 2013
In: ICML (2016)
Mnih, V., Badia, A.P., Mirza, M., Graves, A., Lillicrap, T.P., Harley, T., Silver, D., Kavukcuoglu, K.: Asynchronous methods for deep reinforcement learning · 2016
Later among the works it cites.
In: ICML (2016)
Oh, J., Chockalingam, V., Singh, S., Lee, H.: Control of memory, active perception, and action in minecraft · 2016
Later among the works it cites.
In: Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
Schönberger, J.L., Frahm, J.M.: Structure-from-motion revisited · 2016
Later among the works it cites.
In: NIPS (2016)
Tamar, A., Levine, S., Abbeel, P.: Value iteration networks · 2016
Later among the works it cites.
In: ECCV (2016)
Zamir, A.R., Wekel, T., Agrawal, P., Wei, C., Malik, J., Savarese, S.: Generic 3d representation via pose estimation and matching · 2016
Later among the works it cites.
In: ICRA (2016)
Zhang, M., McCarthy, Z., Finn, C., Levine, S., Abbeel, P.: Learning deep neural network policies with continuous memory states · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
arXiv preprint arXiv:1412.6980 (2014)
Kingma, D., Ba, J.: Adam: A method for stochastic optimization · 2014
Cited alongside, same era.
Artificial Intelligence Review (2015)
Fuentes-Pacheco, J., Ruiz-Ascencio, J., Rendón-Mancha, J.M.: Visual simultaneous localization and mapping: a survey · 2015
Cited alongside, same era.
arXiv preprint arXiv:1512.04455 (2015)
Heess, N., Hunt, J.J., Lillicrap, T.P., Silver, D.: Memory-based control with recurrent neural networks · 2015
Cited alongside, same era.
In: ICML (2015)
Ioffe, S., Szegedy, C.: Batch normalization: Accelerating deep network training by reducing internal covariate shift · 2015
Cited alongside, same era.
In: NIPS (2015)
Jaderberg, M., Simonyan, K., Zisserman, A., et al.: Spatial transformer networks · 2015
Cited alongside, same era.
Nature (2015)
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., Graves, A., Riedmiller, M., Fidjeland, A.K., Ostrovski, G., et al.: Human-level control through deep reinforcement learning · 2015
Cited alongside, same era.
In: ICRA (2017)
Ammirato, P., Poirson, P., Park, E., Kosecka, J., Berg, A.C.: A dataset for developing and benchmarking active vision · 2017
Closest in time.
In: 3DV (2017)
Chang, A., Dai, A., Funkhouser, T., Halber, M., Niessner, M., Savva, M., Song, S., Zeng, A., Zhang, Y.: Matterport3D: Learning from RGB-D data in indoor environments · 2017
Closest in time.
In: CVPR (2017)
Dai, A., Chang, A.X., Savva, M., Halber, M., Funkhouser, T., Nießner, M.: ScanNet: Richly-annotated 3D reconstructions of indoor scenes · 2017
Closest in time.
In: ICRA (2017)
Kahn, G., Zhang, T., Levine, S., Abbeel, P.: Plato: Policy learning using adaptive trajectory optimization · 2017
Closest in time.
In: ICLR (2017)
Mirowski, P., Pascanu, R., Viola, F., Soyer, H., Ballard, A., Banino, A., Denil, M., Goroshin, R., Sifre, L., Kavukcuoglu, K., et al.: Learning to navigate in complex environments · 2017
Closest in time.
In: RSS (2017)
Sadeghi, F., Levine, S.: (CAD) · 2017
Closest in time.
Savva, M., Chang, A.X., Dosovitskiy, A., Funkhouser, T., Koltun, V.: MINOS: Multimodal indoor simulator for navigation in complex environments · 2017
Closest in time.
Zhu, Y., Mottaghi, R., Kolve, E., Lim, J.J., Gupta, A., Fei-Fei, L., Farhadi, A.: Target-driven visual navigation in indoor scenes using deep reinforcement learning · 2017
Closest in time.
arXiv preprint arXiv:1807.06757 (2018)
Anderson, P., Chang, A., Chaplot, D.S., Dosovitskiy, A., Gupta, S., Koltun, V., Kosecka, J., Malik, J., Mottaghi, R., Savva, M., Zamir, A.: On evaluation of embodied navigation agents · 2018
Closest in time.
In: CVPR (2018)
Anderson, P., Wu, Q., Teney, D., Bruce, J., Johnson, M., Sünderhauf, N., Reid, I., Gould, S., Hengel, A.v.d.: Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments · 2018
Closest in time.
arXiv preprint arXiv:1807.05211 (2018)
Bruce, J., Sünderhauf, N., Mirowski, P., Hadsell, R., Milford, M.: Learning deployable navigation policies at kilometer scale from a single traversal · 2018
Closest in time.
In: ICLR (2018)
Chaplot, D.S., Parisotto, E., Salakhutdinov, R.: Active neural localization · 2018
Closest in time.
In: CVPR (2018)
Das, A., Datta, S., Gkioxari, G., Lee, S., Parikh, D., Batra, D.: Embodied question answering · 2018
Closest in time.
In: CVPR (2018)
Gordon, D., Kembhavi, A., Rastegari, M., Redmon, J., Fox, D., Farhadi, A.: IQA: Visual question answering in interactive environments · 2018
Closest in time.
In: CVPR (2018)
Henriques, J.F., Vedaldi, A.: Mapnet: An allocentric spatial memory for mapping environments · 2018
Closest in time.
In: ICLR (2018)
Khan, A., Zhang, C., Atanasov, N., Karydis, K., Kumar, V., Lee, D.D.: Memory augmented control networks · 2018
Closest in time.
In: ICLR (2018)
Parisotto, E., Salakhutdinov, R.: Neural map: Structured memory for deep reinforcement learning · 2018
Closest in time.
In: ICLR (2018)
Savinov, N., Dosovitskiy, A., Koltun, V.: Semi-parametric topological memory for navigation · 2018
Closest in time.
arXiv preprint arXiv:1801.02209 (2018)
Wu, Y., Wu, Y., Gkioxari, G., Tian, Y.: Building generalizable agents with a realistic and rich 3d environment · 2018
Closest in time.
In: CVPR (2018)
Xia, F., R. Zamir, A., He, Z., Sax, A., Malik, J., Savarese, S.: Gibson env: Real-world perception for embodied agents · 2018
Closest in time.