An extensible benchmark for evaluating large language models on planning
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Updated
May 21, 2024 - PDDL
An extensible benchmark for evaluating large language models on planning
ChainReactor is a research project that leverages AI planning to discover exploitation chains for privilege escalation on Unix systems. The project models the problem as a sequence of actions to achieve privilege escalation from initial access to a target system.
🦾 ⚡ Paladinus: An Iterative Depth-First Search FOND Planner.
Learning Heuristic Selection with Dynamic Algorithm Configuration (AI Planning)
🔎 ➿ Goal Recognition in FOND Planning Domain Models with LTLf and PLTL Goals.
Resolution of an increasingly complex planning problem leveraging different PDDL and HDDL planners to achieve optimal plans
Práctica de planificación IA FIB-UPC (2023-24 otoño)
First assignment of Artificial Intelligence for Robotics II regarding the development of a model of a robotic coffee shop scenario, using PDDL language
A taxi domain modeled in PDDL. The objects in the chosen domain are taxis, people, and sidewalks. Taxis can park along a sidewalk or double-park and can move from one sidewalk to another
pddl files for Mars Rover domain and mission. Models rover navigation, data collection, processing, and transmission.
In the context of a modern construction site, autonomous robots are tasked with monitoring the execution of work to estimate its advancements, and to ensure safety and efficiency. Equipped with various sensors and tools, these robots must navigate the site, inspect ongoing tasks, and report any discrepancies or hazards.
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