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Evgenii Nikishin
Evgenii Nikishin
PhD student, Mila, University of Montreal
Zweryfikowany adres z umontreal.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Improving stability in deep reinforcement learning with weight averaging
E Nikishin, P Izmailov, B Athiwaratkun, D Podoprikhin, T Garipov, ...
Uncertainty in artificial intelligence workshop on uncertainty in Deep learning, 2018
372018
The primacy bias in deep reinforcement learning
E Nikishin, M Schwarzer, P D’Oro, PL Bacon, A Courville
International conference on machine learning, 16828-16847, 2022
332022
Control-oriented model-based reinforcement learning with implicit differentiation
E Nikishin, R Abachi, R Agarwal, PL Bacon
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7886-7894, 2022
192022
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
P D'Oro, M Schwarzer, E Nikishin, PL Bacon, MG Bellemare, A Courville
Deep Reinforcement Learning Workshop NeurIPS 2022, 2023
92023
Understanding plasticity in neural networks
C Lyle, Z Zheng, E Nikishin, BA Pires, R Pascanu, W Dabney
arXiv preprint arXiv:2303.01486, 2023
72023
Deep Reinforcement Learning with Plasticity Injection
E Nikishin, J Oh, G Ostrovski, C Lyle, R Pascanu, W Dabney, A Barreto
Workshop on Reincarnating Reinforcement Learning at ICLR 2023, 2023
32023
Unleashing The Potential of Data Sharing in Ensemble Deep Reinforcement Learning
Z Lin, P D'Oro, E Nikishin, A Courville
Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
2022
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
V Kuleshov, E Nikishin, S Thakoor, T Lau, S Ermon
arXiv preprint arXiv:2112.06276, 2021
2021
Unsupervised Domain Adaptation with Shared Latent Dynamics for Reinforcement Learning
E Nikishin, A Ashukha, D Vetrov
Bayesian Deep Learning Workshop on Neural Information Processing Systems, 5, 2019
2019
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Prace 1–9