Daniel Marta

Reinforcement Learning Enables Scaling Generalist Robot Policy Improvement

The introduction of generalist robot policies has enabled a single, large model to learn to perform a variety of tasks from a vast pre-training corpus. While these models often exhibit powerful zero-shot generalization capabilities, they typically require an adaptation phase to achieve sufficient performance in deploym...