A Selective Review on Causal Reinforcement Learning with Unmeasured Confounders
Reinforcement learning (RL) is a fundamental framework for addressing sequential decision problems under uncertainty about system dynamics and outcomes. While RL has made significant progress in recent decades, deploying these methods in real-world scenarios remains challenging. A major obstacle is that standard RL alg...