Sequential Learning of Movement Prediction in Dynamic Environments using LSTM Autoencoder

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Alex Graves. 2013 · 2013

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Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014

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Unsupervised Learning of Video Representations using LSTMs. In In Proceedings of Thirty-second International Conference on Machine Learning (ICML ’15) . Lille, France, 843–852

Nitish Srivastava, Elman Mansimov, and Ruslan Salakhudinov. 2015 · 2015

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Convolutional LSTM network: A machine learning approach for precipitation nowcasting. In In Proceedings of Twenty-nineth Conference on Neural Information Processing Systems (NIPS ’15) . Montréal Canada, 802–810

S. H. I. Xingjian, Zhourong Chenand Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang chun Woo. 2015 · 2015

Cited alongside, same era.

Unsupervised learning for physical interaction through video prediction. In In Proceedings of Thirtieth Conference on Neural Information Processing Systems (NIPS ’16) . Barcelona, Spain, 64–72

Chelsea Finn, Ian Goodfellow, and Sergey Levine. 2016 · 2016

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Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo

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Iker Zamora, Nestor Gonzalez Lopez, Victor Mayoral Vilches, and Alejandro Hernández Cordero. 2016 · 2016

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Robot Path Planning by LSTM Network Under Changing Environment. In Advances in Computer Communication and Computational Sciences . Springer Singapore, Singapore, 317–329

Masaya Inoue, Takahiro Yamashita, and Takeshi Nishida. 2019 · 2019

Closest in time.