Search results
Results: 12
Number of items: 12
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Burghouts, G., Cucchiara, R., Kasarla, T., Mettes, P., Van Der Pol, E., & Van Spengler, M. (2023). Maximum Class Separation as Inductive Bias in One Matrix. 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. 26, pp. 19553-19566). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2206.08704 -
Van Der Pol, E., Worrall, D., Van Hoof, H., Oliehoek, F., & Welling, M. (2021). MDP homomorphic networks: Group symmetries in reinforcement learning. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), 34th Concerence on Neural Information Processing Systems (NeurIPS 2020): online, 6-12 December 2020 (Vol. 6, pp. 4199-4210). (Advances in Neural Information Processing Systems; Vol. 33). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2020/hash/2be5f9c2e3620eb73c2972d7552b6cb5-Abstract.html
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van der Pol, E., Kipf, T., Oliehoek, F. A., & Welling, M. (2020). Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. In AAMAS'20: proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems : May 9-13, 2020, Auckland, New Zealand (pp. 1431–1439). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3398761.3398926
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Mettes, P., Van Der Pol, E., & Snoek, C. (2020). Hyperspherical Prototype Networks. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019 (Vol. 2, pp. 1476-1486). (Advances in Neural Information Processing Systems; Vol. 32). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2019/hash/02a32ad2669e6fe298e607fe7cc0e1a0-Abstract.html
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Oliehoek, F. A., Savani, R., Gallego, J., van der Pol, E., & Groß, R. (2019). Beyond Local Nash Equilibria for Adversarial Networks. In M. Atzmueller, & W. Duivesteijn (Eds.), Artificial Intelligence: 30th Benelux Conference, BNAIC 2018, ‘s-Hertogenbosch, The Netherlands, November 8–9, 2018 : revised selected papers (pp. 73-89). (Communications in Computer and Information Science; Vol. 121). Springer. https://doi.org/10.1007/978-3-030-31978-6_7
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Weitkamp, L., van der Pol, E., & Akata, Z. (2019). Visual rationalizations in deep reinforcement learning for Atari games. In M. Atzmueller, & W. Duivesteijn (Eds.), Artificial Intelligence: 30th Benelux Conference, BNAIC 2018, ‘s-Hertogenbosch, The Netherlands, November 8–9, 2018 : revised selected papers (pp. 151-165). (Communications in Computer and Information Science; Vol. 1021). Springer. https://doi.org/10.1007/978-3-030-31978-6_12
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Kipf, T., van der Pol, E., & Welling, M. (2019). Contrastive Learning of Structured World Models. (v1 ed.) University of Amsterdam. https://arxiv.org/abs/1911.12247v1
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Weitkamp, L., van der Pol, E., & Akata, Z. (2018). Visual rationalizations in deep reinforcement learning for Atari games. In M. Atzmueller, & W. Duivesteijn (Eds.), 30th Benelux Conference on Artificial Intelligence: BNAIC 2018 Preproceedings : November 8-9, 2018, Jheronimus Academy of Data Science (JADS), 's-Hertogenbosch, The Netherlands (pp. 315-329). (BNAIC; Vol. 30). Jheronimus Academy of Data Science.
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van der Pol, E., Gieske, S., & Fernández, R. (2016). Linguistic Style Accommodation in Disagreements. In *SEM 2016: The Fifth Joint Conference on Lexical and Computational Semantics: proceedings of the conference : August 11-12 2016, Berlin, Germany (pp. 120-124). The *SEM 2016 Organizing Committee. https://staff.fnwi.uva.nl/r.fernandezrovira/papers/2016/vanderPolGieskeFernandez-starsem2016.pdf
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