AdaRSI: On-Demand Recursive Self-Improvement for Embodied Agents
cs.CL, cs.RO
Submitted: 2026-10-14
Updated: 2026-10-14
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops
- The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
- Find Something You Can't Do: Agentic Real-World Reinforcement Learning for Self-Improving VLA Models
- Self-Evolving Coding Agents: From Digital Programs to Physical-World Intelligence
- Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories
- Policy-Level Recursive Self-Improvement for Embodied AI with a Criticality World Model
- Agent Priors-guided Policy Learning
- EmbodiRSI: Recursive Self-Improvement for Data-Efficient Robot Adaptation
- Recursive Harness Self-Improvement
- RSI-Router: Evolving Subtask-Level LLM Routing and Skills for Cost-Efficient Agents
- Practice Makes Policies: Bootstrapping and Consolidating Robotic Capabilities from Zero Human Demonstrations
- RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
- ASPIRE: Agentic /Skills Discovery for Robotics
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
- EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution
- AdaHVLA: Adaptive Harnesses for Long-Horizon Vision-Language-Action Execution
- MEM: Multi-Scale Embodied Memory for Vision Language Action Models
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering