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Robot control policies learned in simulation do not often transfer well to the real world.
N. Jakobi, P. Husbands, and I. Harvey, “Noise and the reality gap: The use of simulation in evolutionary robotics,” in
1995
Earlier work this paper cites.
O. Miglino, H. H. Lund, and S. Nolfi, “Evolving mobile robots in simulated and real environments,”
1995
Earlier work this paper cites.
J. Kober, J. A. Bagnell, and J. Peters, “Reinforcement learning in robotics: A survey,”
2012
Earlier work this paper cites.
A. Farchy, S. Barrett, P. MacAlpine, and P. Stone, “Humanoid robots learning to walk faster: From the real world to simulation and back,” in
2013
Earlier work this paper cites.
M. Cutler and J. P. How, “Efficient reinforcement learning for robots using informative simulated priors,”
2015
Earlier work this paper cites.
J. Schulman, S. Levine, P. Moritz, M. I. Jordan, and P. Abbeel, “Trust region policy optimization,” in
2015
Earlier work this paper cites.
J. Ashar, J. Ashmore, B. Hall, S. Harris, B. Hengst, R. Liu, Z. Mei, M. Pagnucco, R. Roy, C. Sammut, O. Sushkov, B. Teh, and L. Tsekouras, “Robocup spl 2014 champion team paper,” vol. 8992, 2015
2015
Earlier work this paper cites.
A. Rajeswaran, S. Ghotra, B. Ravindran, and S. Levine, “Epopt: Learning robust neural network policies using model ensembles,” in
2016
Cited alongside, same era.
J. Hanna and P. Stone, “Grounded action transformation for robot learning in simulation,” in
2017
Cited alongside, same era.
W. Yu, J. Tan, C. Karen Liu, and G. Turk, “Preparing for the unknown: Learning a universal policy with online system identification,”
2017
Cited alongside, same era.
L. Pinto, J. Davidson, R. Sukthankar, and A. Gupta, “Robust adversarial reinforcement learning,” in
2017
Cited alongside, same era.
J. C. G. Higuera, D. Meger, and G. Dudek, “Adapting learned robotics behaviours through policy adjustment,” in
2017
Cited alongside, same era.
F. Golemo, A. A. Taiga, A. Courville, and P.-Y. Oudeyer, “Sim-to-real transfer with neural-augmented robot simulation,” in
2018
Later among the works it cites.
X. B. Peng, M. Andrychowicz, W. Zaremba, and P. Abbeel, “Sim-to-real transfer of robotic control with dynamics randomization,” in
2018
Later among the works it cites.
R. S. Sutton and A. G. Barto,
2018
Later among the works it cites.
A. Hill, A. Raffin, M. Ernestus, A. Gleave, A. Kanervisto, R. Traore, P. Dhariwal, C. Hesse, O. Klimov, A. Nichol, M. Plappert, A. Radford, J. Schulman, S. Sidor, and Y. Wu, “Stable baselines,” https://github.com/hill-a/stable-baselines, 2018
2018
Later among the works it cites.
A. Molchanov, T. Chen, W. Honig, J. A. Preiss, N. Ayanian, and G. S. Sukhatme, “Sim-to-(multi)-real: Transfer of low-level robust control policies to multiple quadrotors,”
2019
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J. Tan, T. Zhang, E. Coumans, A. Iscen, Y. Bai, D. Hafner, S. Bohez, and V. Vanhoucke, “Sim-to-real: Learning agile locomotion for quadruped robots,”
2018
Cited alongside, same era.
Later among the works it cites.
H. Karnan, S. Desai, J. P. Hanna, G. Warnell, and P. Stone, “Reinforced grounded action transformation for sim-to-real transfer,” in
2020
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