In this paper, we present JoinGym, an efficient and lightweight
query op...
While distributional reinforcement learning (RL) has demonstrated empiri...
In this paper, we study risk-sensitive Reinforcement Learning (RL), focu...
We study representation learning for Offline Reinforcement Learning (RL)...
We study the problem of representational transfer in RL, where an agent ...
Off-policy evaluation and learning (OPE/L) use offline observational dat...
Cost-effective and high-precision surrogate modeling is a cornerstone of...
This paper introduces the first provably accurate algorithms for
differe...
Finite element analysis (FEA) has been widely used to generate simulatio...
The convolutional neural network (CNN) has become a powerful tool for va...
Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool f...