38 citations · 141 across the 21 of their papers we have counts for
4 papers · 1 filter
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
Wanqi Xue, Youzhi Zhang, Shuxin Li +3
Securing networked infrastructures is important in the real world. The problem of deploying security resources to protect against an attacker in networked domains can be modeled as…
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
Shuxin Li, Youzhi Zhang, Xinrun Wang +2
In many real-world scenarios, a team of agents coordinate with each other to compete against an opponent. The challenge of solving this type of game is that the team's joint action…
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu, Xinrun Wang, Runsheng Yu +5
Current value-based multi-agent reinforcement learning methods optimize individual Q values to guide individuals' behaviours via centralized training with decentralized execution (…
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu +3
In this paper, we propose a new approach to train Generative Adversarial Networks (GANs) where we deploy a double-oracle framework using the generator and discriminator oracles. GA…