@article{einstein,
author =       "Albert Einstein",
title =        "{Zur Elektrodynamik bewegter Körper}",
journal =      "Annalen der Physik",
volume =       "322",
number =       "10",
pages =        "891--921",
year =         "1905"}
@book{latexcompanion,
author    = "Michel Goossens and Frank Mittelbach and Alexander Samarin",
title     = "The \LaTeX\ Companion",
year      = "1993",
publisher = "Addison-Wesley"}






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               Helen King and
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               Shane Legg and
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@article{DBLP:journals/nature/SilverHMGSDSAPL16,
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               Aja Huang and
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               Julian Schrittwieser and
               Ioannis Antonoglou and
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               Marc Lanctot and
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               Nal Kalchbrenner and
               Ilya Sutskever and
               Timothy P. Lillicrap and
               Madeleine Leach and
               Koray Kavukcuoglu and
               Thore Graepel and
               Demis Hassabis},
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               Jonathan J. Hunt and
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               Tom Erez and
               Yuval Tassa and
               David Silver and
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@book{DBLP:books/lib/SuttonB98,
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@article{DBLP:journals/jmlr/TaylorS09,
  author    = {Matthew E. Taylor and
               Peter Stone},
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@article{DBLP:journals/corr/abs-2009-07888,
  author    = {Zhuangdi Zhu and
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@article{DBLP:journals/corr/HintonVD15,
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@inproceedings{DBLP:journals/corr/RusuCGDKPMKH15,
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               James Kirkpatrick and
               Razvan Pascanu and
               Volodymyr Mnih and
               Koray Kavukcuoglu and
               Raia Hadsell},
  title     = {Policy Distillation},
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@inproceedings{DBLP:journals/corr/ParisottoBS15,
  author    = {Emilio Parisotto and
               Lei Jimmy Ba and
               Ruslan Salakhutdinov},
  title     = {Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning},
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@article{DBLP:journals/corr/abs-1803-03835,
  author    = {Simon Schmitt and
               Jonathan J. Hudson and
               Augustin Z{\'{\i}}dek and
               Simon Osindero and
               Carl Doersch and
               Wojciech M. Czarnecki and
               Joel Z. Leibo and
               Heinrich K{\"{u}}ttler and
               Andrew Zisserman and
               Karen Simonyan and
               S. M. Ali Eslami},
  title     = {Kickstarting Deep Reinforcement Learning},
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@inproceedings{DBLP:conf/icml/HuangMP20,
  author    = {Wenlong Huang and
               Igor Mordatch and
               Deepak Pathak},
  title     = {One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic
               Control},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning,
               {ICML} 2020, 13-18 July 2020, Virtual Event},
  series    = {Proceedings of Machine Learning Research},
  volume    = {119},
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  publisher = {{PMLR}},
  year      = {2020},
}

@inproceedings{DBLP:conf/nips/TehBCQKHHP17,
  author    = {Yee Whye Teh and
               Victor Bapst and
               Wojciech M. Czarnecki and
               John Quan and
               James Kirkpatrick and
               Raia Hadsell and
               Nicolas Heess and
               Razvan Pascanu},
  title     = {Distral: Robust multitask reinforcement learning},
  booktitle = {Advances in Neural Information Processing Systems},
  pages     = {4496--4506},
  year      = {2017}
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@inproceedings{DBLP:conf/icml/TaoGCSM21,
  author    = {Yunzhe Tao and
               Sahika Genc and
               Jonathan Chung and
               Tao Sun and
               Sunil Mallya},
  title     = {{REPAINT:} Knowledge Transfer in Deep Reinforcement Learning},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning},
  series    = {Proceedings of Machine Learning Research},
  volume    = {139},
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  publisher = {{PMLR}},
  year      = {2021}
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@inproceedings{DBLP:conf/atal/FernandezV06,
  author    = {Fernando Fern{\'{a}}ndez and
               Manuela M. Veloso},
  title     = {Probabilistic policy reuse in a reinforcement learning agent},
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@inproceedings{DBLP:conf/aaai/LiZ18a,
  author    = {Siyuan Li and
               Chongjie Zhang},
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  booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
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  pages     = {3562--3570},
  publisher = {{AAAI} Press},
  year      = {2018},
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@inproceedings{DBLP:conf/nips/BarretoDMHSSH17,
  author    = {Andr{\'{e}} Barreto and
               Will Dabney and
               R{\'{e}}mi Munos and
               Jonathan J. Hunt and
               Tom Schaul and
               David Silver and
               Hado van Hasselt},
  title     = {Successor Features for Transfer in Reinforcement Learning},
  booktitle = {Advances in Neural Information Processing Systems},
  pages     = {4055--4065},
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@article{DBLP:journals/corr/abs-1901-10964,
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               Diana Borsa and
               John Quan and
               Tom Schaul and
               David Silver and
               Matteo Hessel and
               Daniel J. Mankowitz and
               Augustin Z{\'{\i}}dek and
               R{\'{e}}mi Munos},
  title     = {Transfer in Deep Reinforcement Learning Using Successor Features and
               Generalised Policy Improvement},
  journal   = {CoRR},
  volume    = {abs/1901.10964},
  year      = {2019}
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@inproceedings{DBLP:conf/atal/TaylorWS07,
  author    = {Matthew E. Taylor and
               Shimon Whiteson and
               Peter Stone},
  title     = {Transfer via inter-task mappings in policy search reinforcement learning},
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@inproceedings{DBLP:conf/atal/TaylorKS08,
  author    = {Matthew E. Taylor and
               Gregory Kuhlmann and
               Peter Stone},
  title     = {Autonomous transfer for reinforcement learning},
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               Systems {(AAMAS} 2008), Estoril, Portugal, May 12-16, 2008, Volume
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  pages     = {283--290},
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@inproceedings{DBLP:conf/uai/WanG020,
  author    = {Michael Wan and
               Tanmay Gangwani and
               Jian Peng},
  title     = {Mutual Information Based Knowledge Transfer Under State-Action Dimension
               Mismatch},
  booktitle = {Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence},
  series    = {Proceedings of Machine Learning Research},
  volume    = {124},
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  publisher = {{AUAI} Press},
  year      = {2020}
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@inproceedings{DBLP:conf/iclr/0004DLAL17,
  author    = {Abhishek Gupta and
               Coline Devin and
               Yuxuan Liu and
               Pieter Abbeel and
               Sergey Levine},
  title     = {Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning},
  booktitle = {Proceedings of the 5th International Conference on Learning Representations},
  publisher = {OpenReview.net},
  year      = {2017}
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@inproceedings{DBLP:conf/iclr/ZhangXEPW21,
  author    = {Qiang Zhang and
               Tete Xiao and
               Alexei A. Efros and
               Lerrel Pinto and
               Xiaolong Wang},
  title     = {Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency},
  booktitle = {Proceedings of the 9th International Conference on Learning Representations},
  publisher = {OpenReview.net},
  year      = {2021}
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@article{DBLP:journals/corr/abs-1909-02291,
  author    = {Yu Chen and
               Yingfeng Chen and
               Yu Yang and
               Ying Li and
               Jianwei Yin and
               Changjie Fan},
  title     = {Learning Action-Transferable Policy with Action Embedding},
  journal   = {CoRR},
  volume    = {abs/1909.02291},
  year      = {2019}
}

@inproceedings{DBLP:conf/nips/XuWC0Y20,
  author    = {Zhiyuan Xu and
               Kun Wu and
               Zhengping Che and
               Jian Tang and
               Jieping Ye},
  title     = {Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous
               Control},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2020}
}

@inproceedings{DBLP:conf/iclr/WangLBF18,
  author    = {Tingwu Wang and
               Renjie Liao and
               Jimmy Ba and
               Sanja Fidler},
  title     = {NerveNet: Learning Structured Policy with Graph Neural Networks},
  booktitle = {Porceedings of the 6th International Conference on Learning Representations},
  publisher = {OpenReview.net},
  year      = {2018}
}

@article{DBLP:journals/corr/SchulmanWDRK17,
  author    = {John Schulman and
               Filip Wolski and
               Prafulla Dhariwal and
               Alec Radford and
               Oleg Klimov},
  title     = {Proximal Policy Optimization Algorithms},
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  year      = {2017}
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@inproceedings{DBLP:conf/aaai/XingNCZNK21,
  author    = {Jinwei Xing and
               Takashi Nagata and
               Kexin Chen and
               Xinyun Zou and
               Emre Neftci and
               Jeffrey L. Krichmar},
  title     = {Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation},
  booktitle = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence},
  pages     = {10452--10459},
  publisher = {{AAAI} Press},
  year      = {2021}
}

@inproceedings{DBLP:conf/aaai/RoyK21,
  author    = {Josh Roy and
               George Dimitri Konidaris},
  title     = {Visual Transfer For Reinforcement Learning Via Wasserstein Domain
               Confusion},
  booktitle = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence},
  pages     = {9454--9462},
  publisher = {{AAAI} Press},
  year      = {2021}
}

@article{DBLP:journals/apin/ShoelehA20,
  author    = {Farzaneh Shoeleh and
               Masoud Asadpour},
  title     = {Skill based transfer learning with domain adaptation for continuous
               reinforcement learning domains},
  journal   = {Appl. Intell.},
  volume    = {50},
  number    = {2},
  pages     = {502--518},
  year      = {2020}
}

@inproceedings{DBLP:conf/iros/TobinFRSZA17,
  author    = {Josh Tobin and
               Rachel Fong and
               Alex Ray and
               Jonas Schneider and
               Wojciech Zaremba and
               Pieter Abbeel},
  title     = {Domain randomization for transferring deep neural networks from simulation
               to the real world},
  booktitle = {2017 {IEEE/RSJ} International Conference on Intelligent Robots and Systems},
  pages     = {23--30},
  publisher = {{IEEE}},
  year      = {2017}
}

@article{DBLP:journals/corr/abs-1910-10537,
  author    = {Reda Bahi Slaoui and
               William R. Clements and
               Jakob N. Foerster and
               S{\'{e}}bastien Toth},
  title     = {Robust Domain Randomization for Reinforcement Learning},
  journal   = {CoRR},
  volume    = {abs/1910.10537},
  year      = {2019}
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@inproceedings{DBLP:conf/bmvc/PanYWL17,
  author    = {Xinlei Pan and
               Yurong You and
               Ziyan Wang and
               Cewu Lu},
  title     = {Virtual to Real Reinforcement Learning for Autonomous Driving},
  booktitle = {British Machine Vision Conference 2017},
  publisher = {{BMVA} Press},
  year      = {2017}
}

@inproceedings{DBLP:conf/icml/GamrianG19,
  author    = {Shani Gamrian and
               Yoav Goldberg},
  title     = {Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image
               Translation},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning,
               {ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}},
  series    = {Proceedings of Machine Learning Research},
  volume    = {97},
  pages     = {2063--2072},
  publisher = {{PMLR}},
  year      = {2019}
}


@inproceedings{maptf,
  title={An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning},
  author={Yang, Tianpei and Wang, Weixun and Tang, Hongyao and Hao, Jianye and Meng, Zhaopeng and Mao, Hangyu and Li, Dong and Liu, Wulong and Chen, Yingfeng and Hu, Yujing and others},
  booktitle={Advances in Neural Information Processing Systems},
  volume={34},
  year={2021}
}

@inproceedings{ptfabs,
  author    = {Tianpei Yang and
               Jianye Hao and
               Zhaopeng Meng and
               Zongzhang Zhang and
               Yujing Hu and
               Yingfeng Chen and
               Changjie Fan and
               Weixun Wang and
               Zhaodong Wang and
               Jiajie Peng},
  title     = {Efficient Deep Reinforcement Learning through Policy Transfer},
  booktitle = {Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems},
  pages     = {2053--2055},
  publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
  year      = {2020}
}

@inproceedings{ptf,
  author    = {Tianpei Yang and
               Jianye Hao and
               Zhaopeng Meng and
               Zongzhang Zhang and
               Yujing Hu and
               Yingfeng Chen and
               Changjie Fan and
               Weixun Wang and
               Wulong Liu and
               Zhaodong Wang and
               Jiajie Peng},
  title     = {Efficient Deep Reinforcement Learning via Adaptive Policy Transfer},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence},
  pages     = {3094--3100},
  year      = {2020}
}


@article{DBLP:journals/corr/abs-2205-13728,
  author    = {Yushi Cao and
               Zhiming Li and
               Tianpei Yang and
               Hao Zhang and
               Yan Zheng and
               Yi Li and
               Jianye Hao and
               Yang Liu},
  title     = {{GALOIS:} Boosting Deep Reinforcement Learning via Generalizable Logic
               Synthesis},
  journal   = {CoRR},
  volume    = {abs/2205.13728},
  year      = {2022}
}

@inproceedings{DBLP:conf/ijcai/ZhangHWTMDZ20,
  author    = {Peng Zhang and
               Jianye Hao and
               Weixun Wang and
               Hongyao Tang and
               Yi Ma and
               Yihai Duan and
               Yan Zheng},
  editor    = {Christian Bessiere},
  title     = {KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human
               Suboptimal Knowledge},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI} 2020},
  pages     = {2291--2297},
  publisher = {ijcai.org},
  year      = {2020}
}