🚀 A new RL framework lets LLM agents like Agent‑R1 master multi‑step reasoning in ever‑changing environments. By extending the classic Markov decision process with a rollout phase, the system adapts on the fly and boosts performance on dynamic tasks. Dive into the details of this open‑source breakthrough! #ReinforcementLearning #LLMAgent #ExtendedMDP #DynamicEnvironments

🔗 https://aidailypost.com/news/new-rl-framework-lets-llm-agents-master-multi-step-reasoning-dynamic

🟪 Power Automate Desktop - Dynamic Environment Handling in Dataverse API Calls 🌐

Excited to share insights on Power Automate Desktop's revolutionary feature for dynamic environment handling in Microsoft Dataverse! 🎯 Curious how it can transform your automation workflows?

💡 This technology lets you:
• Seamlessly switch between environments (Dev, QA, Prod).
• Centralize automation across multiple scenarios.
• Simplify deployment with dynamic URL management.

🔍 Dive into the video to master flexible Dataverse API calls and enhance your automation strategy.

⚖️ Ready to transform your automation processes? Watch the demo now, and optimize your multi-environment management!

▶︎ https://www.hubsite365.com/en-ww/citizen-developer/?id=eaa07f80-6960-f011-bec3-000d3a225db4&topic=8daf8386-bb75-ea11-a811-000d3a210788&theater=true

#PowerAutomateDesktop #Dataverse #DynamicEnvironments #AutomationTips #MicrosoftPowerPlatform

Meet Majid Khadiv, our newly appointed Professor of #AIPlanning in #DynamicEnvironments, in the latest "NewIn" episode. His research focuses on how to enable #robots to perform tasks that are dangerous for humans, such as putting out fires: http://go.tum.de/413334 🤖

📷 A.Heddergott

▶️https://youtu.be/sLdfmLYQJK4
📹@prolehre

AI: How robots decide

Developing robots that can do dangerous and boring work for humans. That is the goal of Prof Majid Khadiv.