# Observational Overfitting in Reinforcement Learning

Song et al., 2019 | https://arxiv.org/abs/1912.02975

• Agents can overfit to parts of observation irrelevant to MDP dynamics such as the scoreboard or the background, as they are correlated with progress.
• Observational overfitting hurts agent's generalization.
• Overparametrization can mitigate observational overfitting and improve generalization.