Martha White

Common defaults in actor-critic algorithms can lead to unreliable performance, while bounded distributions with adaptive updates prove to be significantly more robust.

Forget fancy objectives: a simple, regularized latent dynamics model can achieve state-of-the-art zero-shot RL performance, even with limited data.