Generalization from weak to strong
There are still important differences between our current empirical setup and the fundamental problem of aligning superhuman models. For example, ...
There are still important differences between our current empirical setup and the fundamental problem of aligning superhuman models. For example, ...
With the rise in popularity and use cases of artificial intelligence, imitation learning (IL) has proven to be a successful ...
The ability of a model to generalize or effectively apply learned knowledge to new contexts is essential to the continued ...
Sequential decision-making problems are undergoing a major transition due to the paradigm shift brought about by the introduction of basic ...