My implementation of the AIND classical planning project. The required modifications are included in the "my_planning_graph.py". The comparison results among different algorithms (e.g., depth-first, breadth-first, A*, greedy, uniform-cost) with different heuristics (e.g., unmet goals, max-level, level-sum, set-level) in terms of actions, expansi…
In Artificial Intelligence Planning, there are different types of planning, and this problem is an example of Classical Planning.
Implementation and analysis symbolic logic and classical search to implement an agent that performs progression search to solve planning problems
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
PDDL+ based AI Task Planning domain modelling a robot-enabled cafe environment. Part of Assignment for AI for Robotics 2 course at UniGe, Italy.
Udacity - Artificial Intelligence - Project 2 (Classical Planning) - Air Cargo Problems - All Files - Passed Fri 06 July 2018
📖 My master's thesis @ UFRGS.
🤖 Classical Planning with AI, from Udacity AI Nanodegree
Lazy Optimization Planner - domain-independent planning system
Simple classical planning implementation for .NET.
Experience-Based Planning Domains (EBPDs)
My solutions to projects 1, 2 & 3 of Berkeley's AI course
Classical and FOND Planning for Pure-Past Linear Temporal Logic Goals
The General Problem Solver, AI's 'first' algorithm, written in multiple programming languages.
The Fast Downward domain-independent classical planning system
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