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Elise van der Pol
Elise van der Pol
Microsoft Research
Bestätigte E-Mail-Adresse bei microsoft.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Coordinated deep reinforcement learners for traffic light control
E van der Pol, FA Oliehoek
NeurIPS Workshop on Learning, Inference and Control of Multi-Agent Systems, 2016
6032016
Contrastive Learning of Structured World Models
T Kipf, E van der Pol, M Welling
International Conference on Learning Representations (ICLR), 2019
2912019
Geometric and Physical Quantities improve E (3) Equivariant Message Passing
J Brandstetter, R Hesselink, E van der Pol, E Bekkers, M Welling
International Conference on Learning Representations (ICLR), 2022
1712022
MDP homomorphic networks: Group symmetries in reinforcement learning
E van der Pol, D Worrall, H van Hoof, F Oliehoek, M Welling
Advances in Neural Information Processing Systems (NeurIPS), 2020
1432020
Hyperspherical Prototype Networks
P Mettes, E van der Pol, CGM Snoek
Advances in Neural Information Processing Systems (NeurIPS), 2019
1192019
Deep reinforcement learning for coordination in traffic light control
E Van Der Pol
Master's thesis, University of Amsterdam, 2016
962016
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
E van der Pol, T Kipf, FA Oliehoek, M Welling
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020
862020
GANGs: Generative adversarial network games
FA Oliehoek, R Savani, J Gallego-Posada, E van der Pol, ED De Jong, ...
arXiv preprint arXiv:1712.00679, 2017
432017
Beyond local nash equilibria for adversarial networks
FA Oliehoek, R Savani, J Gallego, E Pol, R Groß
Belgian Dutch Conference on Machine Learning (BeneLearn), 2018
412018
Visual rationalizations in deep reinforcement learning for atari games
L Weitkamp, E van der Pol, Z Akata
Benelux Conference on Artificial Intelligence (BNAIC), 2018
252018
Multi-Agent MDP Homomorphic Networks
E van der Pol, H van Hoof, FA Oliehoek, M Welling
International Conference on Learning Representations (ICLR), 2022
202022
Equivariant Networks for Zero-Shot Coordination
D Muglich, CS de Witt, E van der Pol, S Whiteson, J Foerster
Advances in Neural Information Processing Systems (NeurIPS), 2022
162022
Maximum class separation as inductive bias in one matrix
T Kasarla, GJ Burghouts, M van Spengler, E van der Pol, R Cucchiara, ...
Advances in Neural Information Processing Systems (NeurIPS), 2022
152022
Linguistic style accommodation in disagreements
E Van der Pol, S Gieske, R Fernández
Proceedings of the Fifth Joint Conference on Lexical and Computational …, 2016
52016
One-shot imitation learning via interaction warping
O Biza, S Thompson, KR Pagidi, A Kumar, E van der Pol, R Walters, T Kipf, ...
arXiv preprint arXiv:2306.12392, 2023
42023
Video demo: Deep reinforcement learning for coordination in traffic light control
E van der Pol, FA Oliehoek
Benelux Conference on Artificial Intelligence (BNAIC), 2016
32016
The impact of negative sampling on contrastive structured world models
O Biza, E van der Pol, T Kipf
ICML Workshop on Self-Supervised Learning for Reasoning and Perception, 2021
22021
Configuring a neural network for equivariant or invariant behavior
E van der Pol, FA Oliehoek, H Van Hoof, M Welling, M Herman
US Patent App. 17/869,438, 2023
2023
Symmetry and structure in deep reinforcement learning
E van der Pol
2023
Physical environment interaction with an equivariant policy
M Herman, M Welling, H Van Hoof, E van der Pol, D Worrall, FA Oliehoek
US Patent App. 17/642,451, 2022
2022
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