Schlegel, Matthew

8 publications

NeurIPS 2023 General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White

NeurIPS 2021 Continual Auxiliary Task Learning Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White

JAIR 2021 General Value Function Networks Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White

NeurIPS 2021 Structural Credit Assignment in Neural Networks Using Reinforcement Learning Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James Kostas, Philip S. Thomas, Martha White

NeurIPS 2019 Importance Resampling for Off-Policy Prediction Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White

AAAI 2019 Meta-Descent for Online, Continual Prediction Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White

NeurIPS 2018 Context-Dependent Upper-Confidence Bounds for Directed Exploration Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White

ICML 2017 Adapting Kernel Representations Online Using Submodular Maximization Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White