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@inproceedings{ho2016model,
title={Model-free imitation learning with policy optimization},
author={Ho, Jonathan and Gupta, Jayesh and Ermon, Stefano},
booktitle={International Conference on Machine Learning},
pages={2760--2769},
year={2016},
url={https://arxiv.org/abs/1605.08478},
}
@article{williams1992simple,
title={Simple statistical gradient-following algorithms for connectionist reinforcement learning},
author={Williams, Ronald J},
journal={Machine learning},
volume={8},
number={3-4},
pages={229--256},
year={1992},
publisher={Springer}
}
@article{rubinstein2004cross,
title={The cross-entropy method: A unified approach to Monte Carlo simulation, randomized optimization and machine learning},
author={Rubinstein, Reuven Y and Kroese, Dirk P},
journal={Information Science \& Statistics, Springer Verlag, NY},
year={2004}
}
@article{duan2016rl,
title={RL $\^{} 2$: Fast reinforcement learning via slow reinforcement learning},
author={Duan, Yan and Schulman, John and Chen, Xi and Bartlett, Peter L and Sutskever, Ilya and Abbeel, Pieter},
journal={arXiv preprint arXiv:1611.02779},
year={2016}
}
@article{haarnoja2018soft,
title={Soft actor-critic algorithms and applications},
author={Haarnoja, Tuomas and Zhou, Aurick and Hartikainen, Kristian and Tucker, George and Ha, Sehoon and Tan, Jie and Kumar, Vikash and Zhu, Henry and Gupta, Abhishek and Abbeel, Pieter and others},
journal={arXiv preprint arXiv:1812.05905},
year={2018}
}
@article{rakelly2019efficient,
title={Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables},
author={Kate Rakelly and Aurick Zhou and Deirdre Quillen and Chelsea Finn and Sergey Levine},
year={2019},
journal={arXiv preprint arXiv:1903.08254},
}
@article{schulman2017proximal,
title={Proximal policy optimization algorithms},
author={Schulman, John and Wolski, Filip and Dhariwal, Prafulla and Radford, Alec and Klimov, Oleg},
journal={arXiv preprint arXiv:1707.06347},
year={2017}
}
@article{levine2018reinforcement,
title={Reinforcement learning and control as probabilistic inference: Tutorial and review},
author={Levine, Sergey},
journal={arXiv preprint arXiv:1805.00909},
year={2018}
}
@article{schulman2015trust,
title={Trust region policy optimization},
author={John Schulman and Sergey Levine and Philipp Moritz and Michael I. Jordan and Pieter Abbeel},
year={2015},
eprint={1502.05477},
journal={arXiv},
}
@article{Fujimoto2018AddressingFA,
title={Addressing Function Approximation Error in Actor-Critic Methods},
author={Scott Fujimoto and Herke van Hoof and David Meger},
journal={ArXiv},
year={2018},
url={https://arxiv.org/abs/1802.09477},
}
@article{yu2019metaworld,
title={Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning},
author={Tianhe Yu and Deirdre Quillen and Zhanpeng He and Ryan Julian and Karol Hausman and Chelsea Finn and Sergey Levine},
year={2019},
journal={arXiv:1910.10897},
}
@inproceedings{hausman2018learning,
title={Learning an Embedding Space for Transferable Robot Skills},
author={Karol Hausman and Jost Tobias Springenberg and Ziyu Wang and Nicolas Heess and Martin Riedmiller},
booktitle={International Conference on Learning Representations},
year={2018},
journal={},
url={https://openreview.net/forum?id=rk07ZXZRb},
}
@article{lillicrap2015continuous,
title={Continuous control with deep reinforcement learning},
author={Lillicrap, Timothy P and Hunt, Jonathan J and Pritzel, Alexander and Heess, Nicolas and Erez, Tom and Tassa, Yuval and Silver, David and Wierstra, Daan},
journal={arXiv preprint arXiv:1509.02971},
year={2015}
}
@inproceedings{peters2007reward,
author={J. {Peters} and S. {Schaal}},
booktitle={2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning},
title={Using Reward-weighted Regression for Reinforcement Learning of Task Space Control},
year={2007},
volume={},
number={},
pages={262-267}
}
@article{2009koberpolicy,
title = {Policy Search for Motor Primitives in Robotics},
author = {Kober, J. and Peters, J.},
journal = {Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008},
booktitle = {Advances in neural information processing systems 21},
pages = {849-856},
editors = {Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou},
publisher = {Curran},
organization = {Max-Planck-Gesellschaft},
school = {Biologische Kybernetik},
address = {Red Hook, NY, USA},
month = jun,
year = {2009},
month_numeric = {6}
}
@misc{finn2017modelagnostic,
title={Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks},
author={Chelsea Finn and Pieter Abbeel and Sergey Levine},
year={2017},
eprint={1703.03400},
archivePrefix={arXiv},
primaryClass={cs.LG}
}