Evolutionary meta reinforcement learning for portfolio optimization
Author:
Affiliation:
1. Korea Advanced Institute of Science and Technology, Daejoen, Korea
2. Seoul National University, Seoul, Korea
3. Samsung Electronics, Gyeonggi-do, Korea
Funder
NRF- 2019M3E5D2A01066267
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3449639.3459386
Reference41 articles.
1. M. Al-Shedivat T. Bansal Y. Burda I. Sutskever I. Mordatch and P. Abbeel. 2017. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. arXiv:1710.03641 [cs] (Oct. 2017). http://arxiv.org/abs/1710.03641 arXiv: 1710.03641. M. Al-Shedivat T. Bansal Y. Burda I. Sutskever I. Mordatch and P. Abbeel. 2017. Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. arXiv:1710.03641 [cs] (Oct. 2017). http://arxiv.org/abs/1710.03641 arXiv: 1710.03641.
2. A New Factor in Evolution
3. A Complex Event Processing Toolkit for Detecting Technical Chart Patterns
4. I. Bello H. Pham Q. V. Le M. Norouzi and S. Bengio. 2017. Neural Combinatorial Optimization with Reinforcement Learning. arXiv:1611.09940 [cs stat] (Jan. 2017). http://arxiv.org/abs/1611.09940 arXiv: 1611.09940. I. Bello H. Pham Q. V. Le M. Norouzi and S. Bengio. 2017. Neural Combinatorial Optimization with Reinforcement Learning. arXiv:1611.09940 [cs stat] (Jan. 2017). http://arxiv.org/abs/1611.09940 arXiv: 1611.09940.
5. A. Bifet and R. Gavaldà. 2007. Learning from Time-Changing Data with Adaptive Windowing. In SDM. 10.1137/1.9781611972771.42 A. Bifet and R. Gavaldà. 2007. Learning from Time-Changing Data with Adaptive Windowing. In SDM. 10.1137/1.9781611972771.42
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