VLA Model Paper Wins Outstanding Award at RLC
RobobertoMM · x · 2026-08-19
The paper 'Simple Recipe Works' won an Outstanding Paper Award at the Reinforcement Learning Conference (RLC). It reveals that with the right setup, simple continual reinforcement learning (CRL) enables Vision-Language-Action (VLA) models to continually self-improve, overcoming traditional CRL challenges.
More from Embodied
- UMA Robots assembles world-model team led by VL-JEPA co-author — RemiCadene · 2026-08-19
- OSRA Publishes Roadmap for Physical AI and ROS — kscottz · 2026-08-19
- Wayve hires Alex Toshev to lead new general robotics team at Wayve Labs — Jamie_Shotton · 2026-08-19
- microagi launches in London to put AI robots on British factory floors — chris_j_paxton · 2026-08-19
- CoRL 2026 Workshop: Continually Self-Improving Robots — chris_j_paxton · 2026-08-19
- muni AI Agent Discovers Three Sub-Nanomolar Protein Binders — AllThingsApx · 2026-08-19