Tactile Curiosity Drives Robot Interaction.

arXiv:2609.40134v3 Announce Type: replace-cross Abstract: Mastering robot manipulation skills via reinforcement learning (RL) remains largely sample-inefficient. The most common RL algorithms rely on random action sampling to discover new strategies, resulting