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2020 – today
- 2024
[c6]Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville:
The Curse of Diversity in Ensemble-Based Exploration. ICLR 2024- [i7]Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Razvan Pascanu, Pierre-Luc Bacon, Aristide Baratin:
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons. CoRR abs/2403.07688 (2024) - [i6]Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville:
The Curse of Diversity in Ensemble-Based Exploration. CoRR abs/2405.04342 (2024) - 2023
- [c5]Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville:
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier. ICLR 2023 - [c4]Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney:
Understanding Plasticity in Neural Networks. ICML 2023: 23190-23211 - [c3]Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto:
Deep Reinforcement Learning with Plasticity Injection. NeurIPS 2023 - [i5]Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney:
Understanding plasticity in neural networks. CoRR abs/2303.01486 (2023) - [i4]Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto:
Deep Reinforcement Learning with Plasticity Injection. CoRR abs/2305.15555 (2023) - 2022
- [c2]Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon:
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation. AAAI 2022: 7886-7894 - [c1]Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville:
The Primacy Bias in Deep Reinforcement Learning. ICML 2022: 16828-16847 - [i3]Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville:
The Primacy Bias in Deep Reinforcement Learning. CoRR abs/2205.07802 (2022) - 2021
- [i2]Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon:
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation. CoRR abs/2106.03273 (2021) - [i1]Volodymyr Kuleshov, Evgenii Nikishin, Shantanu Thakoor, Tingfung Lau, Stefano Ermon:
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces. CoRR abs/2112.06276 (2021)
Coauthor Index
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