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Deep reinforcement learning is becoming increasingly popular for robot control algorithms, with the aim for a robot to self-learn useful feature representations from unstructured sensory input leading to the optimal actuation policy.
Distributed sensor fusion for object position estimation by multi-robot systems
A. W. Stroupe, M. C. Martin, and T. Balch · 2001
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Deep belief net learning in a long-range vision system for autonomous off-road driving
R. Hadsell, A. Erkan, P. Sermanet, M. Scoffier, U. Muller, and Yann LeCun · 2008
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ROS: an open-source Robot Operating System
Morgan Quigley, Ken Conley, Brian P. Gerkey, Josh Faust, Tully Foote, Jeremy Leibs, Rob Wheeler, and Andrew Y. Ng · 2009
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Double Q-learning
Hado V. Hasselt · 2010
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Torch7: A matlab-like environment for machine learning
R. Collobert, K. Kavukcuoglu, and C. Farabet · 2011
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Multimodal Deep Learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew Y. Ng · 2011
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V-REP: a Versatile and Scalable Robot Simulation Framework
M. Freese E. Rohmer, S. P. N. Singh · 2013
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Multisensor data fusion: A review of the state-of-the-art
Bahador Khaleghi, Alaa Khamis, Fakhreddine O. Karray, and Saiedeh N. Razavi · 2013
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A robust and modular multi-sensor fusion approach applied to MAV navigation
S. Lynen, M. W. Achtelik, S. Weiss, M. Chli, and R. Siegwart · 2013
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Indoor robot localization by RSSI/IMU sensor fusion
V. Malyavej, W. Kumkeaw, and M. Aorpimai · 2013
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava and Ruslan Salakhutdinov · 2014
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Dianne: Distributed artificial neural networks for the internet of things
Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, and Pieter Simoens · 2015
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Multimodal deep learning for robust RGB-D object recognition
A. Eitel, J. T. Springenberg, L. Spinello, M. Riedmiller, and W. Burgard · 2015
Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver · 2015
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Trust Region Policy Optimization
John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan, and Philipp Moritz · 2015
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Multi-modal sensor fusion for indoor mobile robot pose estimation
Y. Dobrev, S. Flores, and M. Vossiek · 2016
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Deep Reinforcement Learning for Robotic Manipulation
Shixiang Gu, Ethan Holly, Timothy P. Lillicrap, and Sergey Levine · 2016
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Cited alongside, same era.
Learning Continuous Control Policies by Stochastic Value Gradients
Nicolas Heess, Gregory Wayne, David Silver, Tim Lillicrap, Tom Erez, and Yuval Tassa · 2015
Cited alongside, same era.
Deep Learning for Detecting Robotic Grasps
Ian Lenz, Honglak Lee, and Ashutosh Saxena · 2015
Cited alongside, same era.
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich · 2016
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Continuous control with deep reinforcement learning
Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2016
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