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David Szepesvari
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2020 – today
- 2024
- [c3]Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). AAAI 2024: 22713 - 2023
- [j1]Richard S. Sutton, Marlos C. Machado
, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-respecting subtasks for model-based reinforcement learning. Artif. Intell. 324: 104001 (2023) - 2022
- [c2]Miruna Pislar, David Szepesvari, Georg Ostrovski, Diana L. Borsa, Tom Schaul:
When should agents explore? ICLR 2022 - [i4]Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-Respecting Subtasks for Model-Based Reinforcement Learning. CoRR abs/2202.03466 (2022) - 2021
- [i3]Miruna Pislar, David Szepesvari, Georg Ostrovski, Diana Borsa, Tom Schaul:
When should agents explore? CoRR abs/2108.11811 (2021)
2010 – 2019
- 2019
- [i2]Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero:
Adapting Behaviour for Learning Progress. CoRR abs/1912.06910 (2019) - 2017
- [i1]Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, Marcus Wainwright, Chris Apps, Demis Hassabis, Phil Blunsom:
Grounded Language Learning in a Simulated 3D World. CoRR abs/1706.06551 (2017) - 2016
- [c1]S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, Geoffrey E. Hinton:
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. NIPS 2016: 3225-3233
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