8 citations · 21 across the 9 of their papers we have counts for
5 papers · 1 filter
SAC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
Safa Messaoud, Billel Mokeddem, Zhenghai Xue +4
Learning expressive stochastic policies instead of deterministic ones has been proposed to achieve better stability, sample complexity, and robustness. Notably, in Maximum Entropy…
Learning Correlated Stackelberg Equilibrium in General-Sum Multi-Leader-Single-Follower Games
Yaolong Yu, Haifeng Xu, Haipeng Chen
Many real-world strategic games involve interactions between multiple players. We study a hierarchical multi-player game structure, where players with asymmetric roles can be separ…
Robust Reinforcement Learning Under Minimax Regret for Green Security
Lily Xu, Andrew Perrault, Fei Fang +2
Green security domains feature defenders who plan patrols in the face of uncertainty about the adversarial behavior of poachers, illegal loggers, and illegal fishers. Importantly,…
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
Han-Ching Ou, Haipeng Chen, Shahin Jabbari +1
Active screening is a common approach in controlling the spread of recurring infectious diseases such as tuberculosis and influenza. In this approach, health workers periodically s…
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
Qi Zhou, Haipeng Chen, Yitao Zheng +1
As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range of tasks, including document understanding, information retrieval and peer…