22 citations · 24 across the 4 of their papers we have counts for
4 papers
Learning World Models with Identifiable Factorization
Yu-Ren Liu, Biwei Huang, Zhengmao Zhu +4
Extracting a stable and compact representation of the environment is crucial for efficient reinforcement learning in high-dimensional, noisy, and non-stationary environments. Diffe…
Beware of Instantaneous Dependence in Reinforcement Learning
Zhengmao Zhu, Yuren Liu, Honglong Tian +2
Playing an important role in Model-Based Reinforcement Learning (MBRL), environment models aim to predict future states based on the past. Existing works usually ignore instantaneo…
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization
Jing-Cheng Pang, Tian Xu, Shengyi Jiang +2
Reinforcement learning (RL) has demonstrated impressive performance in decision-making tasks like embodied control, autonomous driving and financial trading. In many decision-makin…
ZOOpt: Toolbox for Derivative-Free Optimization
Yu-Ren Liu, Yi-Qi Hu, Hong Qian +2
Recent advances in derivative-free optimization allow efficient approximation of the global-optimal solutions of sophisticated functions, such as functions with many local optima,…