Reinforcement Learning agent and a configurator that can modify some environmental parameters to improve the agent's performance.

Molecular representation learning lays the foundation for drug discovery. However, existing methods suffer from poor out-of-distribution (OOD) generalization, particularly when data for training and testing originate from different environments.

Both algorithms yield state-of-the-art performance guarantees.

Nonetheless, modern machine learning is adaptive in its nature. Prior information about a model's performance on the test set inevitably influences

In many scientific applications, we observe a system in different conditions in which its components may change, rather than in isolation.

While there has been much attention on the theoretical aspect of the traditional i.i.d.