2 papers
cs.RO2026
Emergent Compositional Skills in Mixture-of-Experts VLAs
Shlok Shah, Rhiaan Jhaveri, Tharun Kumar Tiruppali Kalidoss +3
We consider the problem of learning compositional robot policies end-to-end from expert demonstrations, without any pre-specified notion of task decomposition or hierarchy. We ask…
cs.LG2026
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
Kevin Wang, Ishaan Javali, MichaÅ Bortkiewicz +2
Scaling up self-supervised learning has driven breakthroughs in language and vision, yet comparable progress has remained elusive in reinforcement learning (RL). In this paper, we…