Scott Fujimoto
Scott Fujimoto
Verified email at mail.mcgill.ca
Title
Cited by
Cited by
Year
Addressing Function Approximation Error in Actor-Critic Methods
S Fujimoto, H van Hoof, D Meger
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
14242018
Off-Policy Deep Reinforcement Learning without Exploration
S Fujimoto, D Meger, D Precup
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
3892019
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
J Gauci, E Conti, Y Liang, K Virochsiri, Y He, Z Kaden, V Narayanan, X Ye, ...
Reinforcement Learning for Real Life Workshop in the 36th International …, 2019
962019
Benchmarking Batch Deep Reinforcement Learning Algorithms
S Fujimoto, E Conti, M Ghavamzadeh, J Pineau
Deep Reinforcement Learning Workshop NeurIPS 2019, 2019
712019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
EJ Smith, S Fujimoto, A Romero, D Meger
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
452019
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
E Smith, S Fujimoto, D Meger
Advances in Neural Information Processing Systems 31, 6477-6487, 2018
322018
Sentiment analysis: It’s complicated!
K Kenyon-Dean, E Ahmed, S Fujimoto, J Georges-Filteau, C Glasz, ...
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
312018
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
S Fujimoto, D Meger, D Precup
Advances in Neural Information Processing Systems 33, 14219-14230, 2020
122020
A Minimalist Approach to Offline Reinforcement Learning
S Fujimoto, SS Gu
arXiv preprint arXiv:2106.06860, 2021
62021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
S Fujimoto, D Meger, D Precup
Proceedings of the 38th International Conference on Machine Learning 139 …, 2021
2021
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Articles 1–10