 |
 A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement LearningAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024 |
 Low-Rank Tensors for Multi-Dimensional Markov ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 |
 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise
Matrix EstimationNeural Information Processing Systems (NeurIPS), 2024 |
 Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement
Learning with Latent Low-Rank StructureMeasurement and Modeling of Computer Systems (SIGMETRICS), 2022 |
