11 citations · 39 across the 30 of their papers we have counts for
4 papers · 1 filter
Commitment with Signaling under Double-sided Information Asymmetry
Tao Li, Quanyan Zhu
Information asymmetry in games enables players with the information advantage to manipulate others' beliefs by strategically revealing information to other players. This work consi…
On the Resilience of Traffic Networks under Non-Equilibrium Learning
Yunian Pan, Tao Li, Quanyan Zhu
We investigate the resilience of learning-based \textit{Intelligent Navigation Systems} (INS) to informational flow attacks, which exploit the vulnerabilities of IT infrastructure…
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Tao Li, Haozhe Lei, Quanyan Zhu
Powered by deep representation learning, reinforcement learning (RL) provides an end-to-end learning framework capable of solving self-driving (SD) tasks without manual designs. Ho…
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis
Tao Li, Haozhe Lei, Quanyan Zhu
Meta reinforcement learning (meta RL), as a combination of meta-learning ideas and reinforcement learning (RL), enables the agent to adapt to different tasks using a few samples. H…