Evgenii Nikishin
Evgenii Nikishin
PhD student, Mila, University of Montreal
Verified email at - Homepage
Cited by
Cited by
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
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
P D'Oro, M Schwarzer, E Nikishin, PL Bacon, MG Bellemare, A Courville
International Conference on Learning Representations (ICLR), 𝐍𝐨𝐭𝐚𝐛𝐥𝐞-𝐭𝐨𝐩-𝟓%, 2023
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
Understanding plasticity in neural networks
C Lyle, Z Zheng, E Nikishin, BA Pires, R Pascanu, W Dabney
International conference on machine learning, 2023
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
Deep Reinforcement Learning with Plasticity Injection
E Nikishin, J Oh, G Ostrovski, C Lyle, R Pascanu, W Dabney, A Barreto
Advances in Neural Information Processing Systems 36, 2023
The Curse of Diversity in Ensemble-Based Exploration
Z Lin, P D'Oro, E Nikishin, A Courville
arXiv preprint arXiv:2405.04342, 2024
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
S Dufort-Labbé, P D'Oro, E Nikishin, R Pascanu, PL Bacon, A Baratin
arXiv preprint arXiv:2403.07688, 2024
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
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
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
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