引用次数
引用: 156
H-指数: 6
I10-指数 : 5
出版物: 18
Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
Matthew Kyle Schlegel , Volodymyr Tkachuk , Adam M White , Martha White
Transactions on Machine Learning Research
1
2022
Offline Reinforcement Learning via Tsallis Regularization
Lingwei Zhu , Matthew Kyle Schlegel , Han Wang , Martha White
Transactions on Machine Learning Research
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
Lingwei Zhu , Zheng Chen , Matthew Kyle Schlegel , Martha White
NeurIPS 2023
2
2023
Adapting Kernel Representations Online Using Submodular Maximization
Jiecao Chen , Martha White , Yangchen Pan , Matthew Schlegel
international conference on machine learning 3037 -3046
1
2017
Discovery of Predictive Representations With a Network of General Value Functions
Adam White , Martha White , Matthew Schlegel , Andrew Patterson
2018
Importance Resampling for Off-policy Policy Evaluation
Martha White , Matthew Schlegel , Wesley Chung , Daniel Graves
2018
Context-dependent upper-confidence bounds for directed exploration
Adam White , Raksha Kumaraswamy , Martha White , Matthew Schlegel
neural information processing systems 31 4779 -4789
2018
Importance Resampling for Off-policy Prediction
Martha White , Matthew Schlegel , Wesley Chung , Daniel Graves
neural information processing systems 32 1799 -1809
12
2019
General Value Function Networks
Adam White , Martha White , Matthew Schlegel , Andrew Patterson
Journal of Artificial Intelligence Research 70 497 -543
2021
Meta-Descent for Online, Continual Prediction
Andrew Jacobsen , Matthew Schlegel , Cameron Linke , Thomas Degris
national conference on artificial intelligence 33 ( 01) 3943 -3950
18
2019
Continual auxiliary task learning
Matthew McLeod , Chunlok Lo , Matthew Schlegel , Andrew Jacobsen
Advances in Neural Information Processing Systems 34 12549 -12562
2
2021
Structural credit assignment in neural networks using reinforcement learning
Dhawal Gupta , Gabor Mihucz , Matthew Schlegel , James Kostas
Advances in Neural Information Processing Systems 34 30257 -30270
2
2021
A Baseline of Discovery for General Value Function Networks under Partial Observability
Matthew Schlegel , Adam White , Martha White
NeurIPS Workshop on Reinforcement Learning under Partial Observability): Montreal, Canada
4
2018
Stable predictive representations with general value functions for continual learning
Matthew Schlegel , Adam White , Martha White
Continual Learning and Deep Networks workshop at the Neural Information Processing System Conference
2
2017
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence
Lingwei Zhu , Zheng Chen , Matthew Schlegel , Martha White
arXiv preprint arXiv:2301.11476
1
2023
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence
Lingwei Zhu , Zheng Chen , Matthew Schlegel , Martha White
Advances in Neural Information Processing Systems 36
2024
Predictions Predicting Predictions
M Schlegel , Martha White
The 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making
1
2022
Leveraging Off-Policy Prediction in Recurrent Networks for Reinforcement Learning
Matthew K Schlegel
2023