Technology
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
In this work, we study the low-rank MDPs with adversarially changed losses in the full-information feedback setting.
realSEUDO for real-time calcium imaging analysis
One challenging modality for real-time processing is multi-photon calcium imaging (CI).
Deep Non-line-of-sight Imaging from Under-scanning Measurements
Moreover, the proposed method delivers impressive robustness at an extremely low scanning grid (i.e., 8
On Optimal Caching and Model Multiplexing for Large Model Inference
By combining a caching algorithm, namely Greedy Dual Size with Frequency (GDSF) or Least Expected Cost (LEC), with a model multiplexer, we achieve optimal rates in both offline and online settings.
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
Recent explosion of reinforcement learning in financial trading (RLFT) research has shown stellar performance on many quantitative trading tasks.
