Matthew Schlegel

According to our database, Matthew Schlegel authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning.

Matthew Schlegel, Volodymyr Tkachuk, Adam M. White, Martha White

Trans. Mach. Learn. Res., 2023

General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence.

Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

General Value Function Networks.

Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White

J. Artif. Intell. Res., 2021

Continual Auxiliary Task Learning.

Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structural Credit Assignment in Neural Networks using Reinforcement Learning.

Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James E. Kostas, Philip S. Thomas, Martha White

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Importance Resampling for Off-policy Prediction.

Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Descent for Online, Continual Prediction.

Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

General Value Function Networks.

Matthew Schlegel, Adam White, Andrew Patterson, Martha White

CoRR, 2018

Context-dependent upper-confidence bounds for directed exploration.

Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Adapting Kernel Representations Online Using Submodular Maximization.

Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White

Proceedings of the 34th International Conference on Machine Learning, 2017