Horizon-Adaptive Multi-Turn Reinforcement Learning in VLA Models for ALFRED Success Rates

This report synthesises findings from 15 peer-reviewed papers addressing the following research question: What is the impact of horizon-adaptive multi-turn RL on the success rate of VLA models compared to single-turn baselines in the ALFRED dataset. 6 claims were extracted from source literature; 6 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 7.6/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: What is the impact of horizon-adaptive multi-turn RL on the success rate of VLA models compared to single-turn baselines in the ALFRED dataset?

Autonomous literature synthesis. Automated review score: 7.6/10. Full text and citation available at Assignee Research.