Evgenii Nikishin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Temporal Difference

Direct Policy Search

Ensemble Feature Selection

Top Venues

Publications

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 (2024)
Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville
The Curse of Diversity in Ensemble-Based Exploration. CoRR (2024)
Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville
The Curse of Diversity in Ensemble-Based Exploration. ICLR (2024)
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)
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
Understanding plasticity in neural networks. CoRR (2023)
Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto
Deep Reinforcement Learning with Plasticity Injection. CoRR (2023)
Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto
Deep Reinforcement Learning with Plasticity Injection. NeurIPS (2023)
Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
Understanding Plasticity in Neural Networks. ICML (2023)
Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
The Primacy Bias in Deep Reinforcement Learning. ICML (2022)
Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation. AAAI (2022)
Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
The Primacy Bias in Deep Reinforcement Learning. CoRR (2022)
Volodymyr Kuleshov, Evgenii Nikishin, Shantanu Thakoor, Tingfung Lau, Stefano Ermon
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces. CoRR (2021)
Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation. CoRR (2021)