Matthew Schlegel

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Reinforcement Learning

High Prediction Accuracy

Credit Assignment

Top Venues

Trans. Mach. Learn. Res.

J. Artif. Intell. Res.

Publications

Lingwei Zhu, Matthew Schlegel, Han Wang, Martha White
Offline Reinforcement Learning via Tsallis Regularization. Trans. Mach. Learn. Res. 2024 (2024)
Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence. NeurIPS (2023)
Matthew Schlegel, Volodymyr Tkachuk, Adam M. White, Martha White
Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Continual Auxiliary Task Learning. CoRR (2022)
Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White
General Value Function Networks. J. Artif. Intell. Res. 70 (2021)
Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
Continual Auxiliary Task Learning. NeurIPS (2021)
Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James E. Kostas, Philip S. Thomas, Martha White
Structural Credit Assignment in Neural Networks using Reinforcement Learning. NeurIPS (2021)
Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
Importance Resampling for Off-policy Prediction. NeurIPS (2019)
Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
Importance Resampling for Off-policy Prediction. CoRR (2019)
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
Meta-Descent for Online, Continual Prediction. AAAI (2019)
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
Meta-descent for Online, Continual Prediction. CoRR (2019)
Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
Context-Dependent Upper-Confidence Bounds for Directed Exploration. CoRR (2018)
Matthew Schlegel, Adam White, Andrew Patterson, Martha White
General Value Function Networks. CoRR (2018)
Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
Context-dependent upper-confidence bounds for directed exploration. NeurIPS (2018)
Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White
Adapting Kernel Representations Online Using Submodular Maximization. ICML (2017)