✨Reinforcing Action Policies by Prophesying

📝 Summary:
ProphRL improves Vision-Language-Action policies by overcoming imitation learning limits. It uses Prophet, a learned world model simulator, with tailored reinforcement learning FA-GRPO and FlowScale for data-efficient and stable post-training. This yields significant success gains on benchmarks a...

🔹 Publication Date: Published on Nov 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.20633
• PDF: https://arxiv.org/pdf/2511.20633
• Project Page: https://logosroboticsgroup.github.io/ProphRL/
• Github: https://github.com/LogosRoboticsGroup/ProphRL

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