Michał Bortkiewicz

Is Temporal Difference Learning the Gold Standard for Stitching in RL?

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research

Contrastive Representations for Temporal Reasoning

Learning Continually by Spectral Regularization