F. (Fan) Feng MSc
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
- Science Park 900
Postadres
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Postbus 94323
1090 GH Amsterdam
Contactgegevens
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Publicaties
2023
- Feng, F., & Magliacane, S. (2023). Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2023/hash/3cc87f2bd3e3b4df8f9217326761c322-Abstract-Conference.html
Feng, F., Huang, B., Magliacane, S., & Zhang, K. (2023). Factored Adaptation for Non-Stationary Reinforcement Learning. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 41, pp. 31957-31971). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2203.16582 [details]
2022
- Huang, B., Feng, F., Lu, C., Magliacane, S., & Zhang, K. (2022). ADARL: WHAT, WHERE, AND HOW TO ADAPT IN TRANSFER REINFORCEMENT LEARNING. Paper presented at 10th International Conference on Learning Representations, ICLR 2022, Virtual, Online.
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Feng, F., Huang, B., Magliacane, S., & Zhang, K. (2023). Factored Adaptation for Non-Stationary Reinforcement Learning. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 41, pp. 31957-31971). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation.