We have hosted the application vectorizedmultiagentsimulator vmas in order to run this application in our online workstations with Wine or directly.


Quick description about vectorizedmultiagentsimulator vmas:

VectorizedMultiAgentSimulator is a high-performance, vectorized simulator for multi-agent systems, focusing on large-scale agent interactions in shared environments. It is designed for research in multi-agent reinforcement learning, robotics, and autonomous systems where thousands of agents need to be simulated efficiently.

Features:
  • Highly optimized for vectorized multi-agent simulation to run thousands of agents in parallel
  • Supports physics-based interactions and dynamic environments
  • Enables large-scale reinforcement learning experiments with efficient state and action management
  • Easily customizable agent behavior and environment dynamics
  • Includes built-in visualization tools for monitoring agent interactions


Programming Language: Python.
Categories:
Multi-Agent Systems, Multi-Agent Frameworks, Reinforcement Learning Frameworks

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