✨MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

📝 Summary:
MarS is a financial market simulation engine using LMM, an order-level generative model. It creates realistic, interactive market scenarios for risk-free strategy training and analysis. This offers scalability and strong realism.

🔹 Publication Date: Published on Sep 4, 2024

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2409.07486
• PDF: https://arxiv.org/pdf/2409.07486
• Github: https://github.com/microsoft/mars

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#FinancialMarkets #GenerativeAI #Simulation #LLM #FinTech

✨PAN: A World Model for General, Interactable, and Long-Horizon World Simulation

📝 Summary:
PAN is a general interactable world model that predicts future states through high-quality action-conditioned video simulation. It uses a GLP architecture combining LLM-based latent dynamics with a video diffusion decoder for detailed long-term coherent results enabling reasoning and acting.

🔹 Publication Date: Published on Nov 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.09057
• PDF: https://arxiv.org/pdf/2511.09057

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#WorldModels #AI #Simulation #GenerativeAI #Robotics

✨SimScale: Learning to Drive via Real-World Simulation at Scale

📝 Summary:
SimScale is a simulation framework synthesizing diverse driving scenarios from logs. Co-training with this data significantly improves autonomous driving robustness and generalization, scaling with simulation data even without new real-world input.

🔹 Publication Date: Published on Nov 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.23369
• PDF: https://arxiv.org/pdf/2511.23369
• Project Page: https://opendrivelab.com/SimScale
• Github: https://github.com/OpenDriveLab/SimScale

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#AutonomousDriving #Simulation #AI #MachineLearning #Robotics

✨SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds

📝 Summary:
SimWorld is a new Unreal Engine 5 simulator for developing and evaluating LLM VLM agents in realistic, open-ended physical and social environments. It provides diverse scenarios and a rich interface, revealing distinct reasoning patterns and limitations across frontier LLM models.

🔹 Publication Date: Published on Nov 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01078
• PDF: https://arxiv.org/pdf/2512.01078

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#AI #LLM #Simulation #AutonomousAgents #UnrealEngine5

✨MeepleLM: A Virtual Playtester Simulating Diverse Subjective Experiences

📝 Summary:
MeepleLM is an AI virtual playtester providing constructive critique for board game design by simulating diverse player experiences. It models subjective feedback via persona-specific reasoning, outperforming commercial AI in critique quality and community alignment.

🔹 Publication Date: Published on Jan 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.07251
• PDF: https://arxiv.org/pdf/2601.07251
• Github: https://github.com/leroy9472/MeepleLM

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#AI #GameDesign #BoardGames #Simulation #LLM

✨HydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning

📝 Summary:
HydroShear is a hydroelastic tactile simulator that improves sim-to-real policy transfer for contact-rich tasks by accurately modeling stick-slip and path-dependent forces. It enables zero-shot transfer of reinforcement learning policies with a 93% average success rate, significantly outperformin...

🔹 Publication Date: Published on Feb 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.00446
• PDF: https://arxiv.org/pdf/2603.00446
• Project Page: https://hydroshear.github.io/

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#ReinforcementLearning #Robotics #Simulation #TactileSensing #Sim2Real

✨SimRecon: SimReady Compositional Scene Reconstruction from Real Videos

📝 Summary:
SimRecon reconstructs cluttered scenes from real videos using a Perception-Generation-Simulation pipeline. It employs Active Viewpoint Optimization for visual fidelity and a Scene Graph Synthesizer for physical plausibility. This enables superior compositional scene representations for simulation...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.02133
• PDF: https://arxiv.org/pdf/2603.02133
• Project Page: https://xiac20.github.io/SimRecon/
• Github: https://github.com/xiac20/SimRecon

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#SceneReconstruction #ComputerVision #AI #Simulation #3DReconstruction

✨Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation

📝 Summary:
Kinema4D is a 4D generative robotic simulator for precise robot-world interactions. It combines kinematic robot control with spatiotemporal environmental reaction synthesis. This enables physically plausible, embodiment-agnostic simulations with zero-shot transfer capability.

🔹 Publication Date: Published on Mar 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.16669
• PDF: https://arxiv.org/pdf/2603.16669
• Project Page: https://mutianxu.github.io/Kinema4D-project-page/
• Github: https://github.com/mutianxu/Kinema4D

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#Robotics #Simulation #GenerativeAI #Kinematics #EmbodiedAI