Matthew Schlegel

19 papers A* 7Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Laplacian Representations for Decision-Time Planning. CoRR Dikshant Shehmar, Matthew Schlegel, Matthew E. Taylor, Marlos C. Machado
2025	J	`jnl`	Human-Like Bots for Tactical Shooters Using Compute-Efficient Sensors. IEEE Trans. Games Niels Justesen, Maria Kaselimi, Sam Snodgrass, Miruna Vozaru, Matthew Schlegel, Jonas Wingren, Gabriella A. B. Barros, Tobias Mahlmann, Shyam Sudhakaran, Wesley Kerr, Albert Wang, Christoffer Holmgård, Georgios N. Yannakakis, Sebastian Risi, Julian Togelius
2025	J	`jnl`	Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors. CoRR Niels Justesen, Maria Kaselimi, Sam Snodgrass, Miruna Vozaru, Matthew Schlegel, Jonas Wingren, Gabriella A. B. Barros, Tobias Mahlmann, Shyam Sudhakaran, Wesley Kerr, Albert Wang, Christoffer Holmgård, Georgios N. Yannakakis, Sebastian Risi, Julian Togelius
2025	J	`jnl`	Operator Learning for Power Systems Simulation. CoRR Matthew Schlegel, Matthew E. Taylor, Mostafa Farrokhabadi
2024	J	`jnl`	Offline Reinforcement Learning via Tsallis Regularization. Trans. Mach. Learn. Res. Lingwei Zhu, Matthew Schlegel, Han Wang, Martha White
2023	A*	`conf`	General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence. NeurIPS Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White
2023	J	`jnl`	Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning. Trans. Mach. Learn. Res. Matthew Schlegel, Volodymyr Tkachuk, Adam M. White, Martha White
2022	J	`jnl`	Continual Auxiliary Task Learning. CoRR Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2021	A*	`conf`	Continual Auxiliary Task Learning. NeurIPS Matthew McLeod, Chunlok Lo, Matthew Schlegel, Andrew Jacobsen, Raksha Kumaraswamy, Martha White, Adam White
2021	J	`jnl`	General Value Function Networks. J. Artif. Intell. Res. Matthew Schlegel, Andrew Jacobsen, Zaheer Abbas, Andrew Patterson, Adam White, Martha White
2021	A*	`conf`	Structural Credit Assignment in Neural Networks using Reinforcement Learning. NeurIPS Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James E. Kostas, Philip S. Thomas, Martha White
2019	A*	`conf`	Importance Resampling for Off-policy Prediction. NeurIPS Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
2019	J	`jnl`	Importance Resampling for Off-policy Prediction. CoRR Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
2019	A*	`conf`	Meta-Descent for Online, Continual Prediction. AAAI Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
2019	J	`jnl`	Meta-descent for Online, Continual Prediction. CoRR Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
2018	J	`jnl`	Context-Dependent Upper-Confidence Bounds for Directed Exploration. CoRR Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
2018	A*	`conf`	Context-dependent upper-confidence bounds for directed exploration. NeurIPS Raksha Kumaraswamy, Matthew Schlegel, Adam White, Martha White
2018	J	`jnl`	General Value Function Networks. CoRR Matthew Schlegel, Adam White, Andrew Patterson, Martha White
2017	A*	`conf`	Adapting Kernel Representations Online Using Submodular Maximization. ICML Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White