3 papers
cs.LG2024
When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions
Zhening Li, Gabriel Poesia, Armando Solar-Lezama
Skills are temporal abstractions that are intended to improve reinforcement learning (RL) performance through hierarchical RL. Despite our intuition about the properties of an envi…
math.OC2023
Approximating Tensor Norms via Sphere Covering: Bridging the Gap Between Primal and Dual
Simai He, Haodong Hu, Bo Jiang +1
The matrix spectral and nuclear norms appear in enormous applications. The generalizations of these norms to higher-order tensors is becoming increasingly important but unfortunate…
math.OC2016
Approximation Algorithms for Optimization of Real-Valued General Conjugate Complex Forms
Taoran Fu, Bo Jiang, Zhening Li
Complex polynomial optimization has recently gained more and more attention in both theory and practice. In this paper, we study the optimization of a real-valued general conjugate…