2022
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
NeurIPS 2022accept
One of the key challenges in deploying RL to real-world applications is to adapt to variations of unknown environment contexts, such as changing terrains in robotic tasks and fluctuated bandwidth in congestion control. Existing works on adaptation to unknown environment contexts either assume the co…