Model-Based Transfer Learning
Reinforcement learning models often fail to learn when there are even small changes in the environment, so [we want them] to adapt well like zero shot generalization
Gaussian Process to solve contextual RL problems with contextual Markov Decision Process
loss by contextual similarity within Bayesian Optimization with choosing optimal training environment based onAcquisition Function for steady and fast training.
Model-Based Transfer Learning for Contextual Reinforcement Learning
https://jhoon-cho.github.io/MBTL/
