✨The Station: An Open-World Environment for AI-Driven Discovery

📝 Summary:
The Station is an open-world multi-agent AI environment enabling autonomous scientific discovery. Agents engage in full scientific journeys, achieving state-of-the-art results across diverse benchmarks. This new paradigm fosters emergent behaviors and novel method development, moving beyond rigid...

🔹 Publication Date: Published on Nov 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.06309
• PDF: https://arxiv.org/pdf/2511.06309
• Github: https://github.com/dualverse-ai/station

==================================

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #MultiAgentSystems #ScientificDiscovery #OpenWorldAI #AutonomousAI

✨No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning

📝 Summary:
ECHO is an RL framework addressing stale critics in LLM agent training. It jointly optimizes policy and critic through a co-evolutionary loop and cascaded rollouts. This ensures synchronized feedback, leading to more stable training and higher task success in open-world environments.

🔹 Publication Date: Published on Jan 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.06794
• PDF: https://arxiv.org/pdf/2601.06794

==================================

For more data science resources:
✓ https://t.iss.one/DataScienceT

#ReinforcementLearning #LLMAgents #MachineLearning #AIResearch #OpenWorldAI