Efficient Reinforcement Learning with Impaired Observability: Learning to Act with Delayed and Missing State Observations

Minshuo Chen, Jie Meng, Yu Bai +3

In real-world reinforcement learning (RL) systems, various forms of {\it impaired observability} can complicate matters. These situations arise when an agent is unable to observe t…