DoorGym: A Scalable Door Opening Environment And Baseline Agent

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Urakami, Yusuke; Hodgkinson, Alec; Carlin, Casey; Leu, Randall; Rigazio, Luca; Abbeel, Pieter;
  • Subject: Computer Science - Artificial Intelligence | Computer Science - Machine Learning | Computer Science - Robotics

Reinforcement Learning (RL) has brought forth ideas of autonomous robots that can navigate real-world environments with ease, aiding humans in a variety of tasks. RL agents have just begun to make their way out of simulation into the real world. Once in the real world, ... View more
  • References (37)
    37 references, page 1 of 4

    [1] Y. Deng, F. Bao, Y. Kong, Z. Ren, and Q. Dai. Deep direct reinforcement learning for financial signal representation and trading. IEEE Transactions on Neural Networks and Learning Systems, 28(4):653-664, March 2017. ISSN 2162-237X. doi:10.1109/TNNLS.2016.2522401.

    [2] N. Rhinehart, R. McAllister, K. M. Kitani, and S. Levine. PRECOG: prediction conditioned on goals in visual multi-agent settings. CoRR, abs/1905.01296, 2019. URL

    [3] X. B. Peng, M. Andrychowicz, W. Zaremba, and P. Abbeel. Sim-to-real transfer of robotic control with dynamics randomization. CoRR, abs/1710.06537, 2017.

    [4] OpenAI, M. Andrychowicz, B. Baker, M. Chociej, R. Józefowicz, B. McGrew, J. Pachocki, A. Petron, M. Plappert, G. Powell, A. Ray, J. Schneider, S. Sidor, J. Tobin, P. Welinder, L. Weng, and W. Zaremba. Learning dexterous in-hand manipulation. CoRR, 2018. URL

    [5] A. Rajeswaran, S. Ghotra, S. Levine, and B. Ravindran. Epopt: Learning robust neural network policies using model ensembles. CoRR, abs/1610.01283, 2016. URL abs/1610.01283.

    [6] S. Gu, E. Holly, T. Lillicrap, and S. Levine. Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates. In 2017 IEEE International Conference on Robotics and Automation (ICRA), pages 3389-3396, May 2017. doi:10.1109/ICRA.2017.7989385.

    [7] P. P. J. I. A. H. E. J. D. Q. E. H. M. K. V. V. S. L. Dmitry Kalashnikov, Alex Irpan. Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation. CoRL, 2018.

    [8] E. Klingbeil, A. Saxena, and A. Y. Ng. Learning to open new doors. In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2751-2757, 2010.

    [9] R. Du, S. Feng, P. Franklin, M. Gennert, J. P. Graff, P. He, A. Jaeger, J. Kim, K. Knoedler, L. Li, C. Y. Liu, X. Long, T. Padir, F. Polido, G. G. Tighe, and X. Xinjilefu. What happened at the darpa robotics challenge , and why ? In None, 2015.

    [10] B. Nemec, L. Žlajpah, and A. Ude. Door opening by joining reinforcement learning and intelligent control. In 2017 18th International Conference on Advanced Robotics (ICAR), 2017.

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