Before revision:  To address this problem, we introduce a robust representation learning approach for RL . We introduce an auxiliary objective based on the multi-view information bottleneck (MIB) principle which  encourages learning representations that are both predictive of the future and less sensitive to task-irrelevant distractions.
After revision:  To address this problem, we introduce a robust representation learning approach for RL . We introduce an auxiliary objective based on the multi-view information bottleneck (MIB) principle which quantifies the amount of task-irrelevant information and encourages learning representations that are both predictive of the future and less sensitive to task-irrelevant distractions.