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References

1 
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, P. Abbeel, 2017, Domain randomization for transferring deep neural networks from simulation to the real world, IEEE/ RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 23-30DOI
2 
R. S. Sutton, A. G. Barto, 2018, Reinforcement learning: An introduction, 2nd Edition MIT PressGoogle Search
3 
W. Yu, J. Tan, C. K. Liu, G. Turk, 2017, Preparing for the Unknown: Learning a Universal Policy with Online System Identification, arXiv:1702.02453Google Search
4 
X. B. Peng, M. Andrychowicz, W. Zaremba, P. Abbeel, 2018, Sim-to-Real Transfer of Robotic Control with Dynamics Randomization, IEEE International Conference on Robotics and Automation (ICRA), pp. 3803-3810DOI
5 
Z. Ding, 2021, Not only domain randomization: Universal policy with embedding system identification, arXiv:2109.13438Google Search
6 
M. Kim, J.-S. Kim, 2021, Policy-based Deep Reinforcement Learning for Sparse Reward Environment, The Transactions of the Korean Institute of Electrical Engineers, Vol. 70, No. 3, pp. 506-514Google Search