Patrolling-Zoo offers a flexible framework enabling users to create and experiment with multi-agent patrolling tasks in Python. The library includes a variety of grid-based and graph-based environments, each simulating surveillance, monitoring, and coverage scenarios. Users can configure the number of agents, map size, topology, reward functions, and observation spaces. Through compatibility with PettingZoo and Gym APIs, it supports seamless integration with popular reinforcement learning algorithms. This environment facilitates benchmarking and comparing MARL techniques under consistent settings. By providing standard scenarios and tools to customize new ones, Patrolling-Zoo accelerates research in autonomous robotics, security surveillance, search-and-rescue operations, and efficient area coverage using multi-agent coordination strategies.

Character.AI Data Donation Tool is a browser extension that facilitates the collection of chat history from Character.AI. This data is used for research purposes to enhance and develop AI technology. The extension is designed with privacy in mind, ensuring that data is not sold to third parties or used for purposes outside its core functionality. The collected data helps researchers at institutions like Stanford University and others to gather insights and make advancements in the field of AI.