Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

Maximilian Igl, Kamil Ciosek, Yingzhen Li +4

The ability for policies to generalize to new environments is key to the broad application of RL agents. A promising approach to prevent an agent's policy from overfitting to a lim…