A simple HTN planner based around the principles of the Builder pattern.
-
Updated
Apr 29, 2025 - C#
A simple HTN planner based around the principles of the Builder pattern.
AI Automated Planning with STRIPS and PDDL in Node.js
🌍 AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.
Entropy-controlled contexts in Python
In this project a gardening system has been automated using IoT in the Raspberry Pi platform.
An AI planning project based on the 2019 international university timetabling competition which used commercial software IBM CPLEX to generate feasible course timetables with minimum penalty.
Total-order Forward Decomposition Algorithm: HTN Planning
AI agent game competition - Reinforcement learning (Monte Carlo Tree Search, Deep Q-learning, Minimax)
A Single-Outcome Replanner for Computing Strong Cyclic Solutions in Fully Observable Non-Deterministic Domains
Collaborative definition of HDDL Temporal extension
🦾 ⚡ Paladinus: An Iterative Depth-First Search FOND Planner.
T20: Multi-Agent. Orchestrator-delegate model. TAS. Goal -> plan -> delegate. Agents: Gemini family. Autonomous, traceable. Logs sessions. CLI. Usage: `t20-cli "goal string"`. Artifacts of high value.
A simple framework to run multiple planners in parallel.
Python implementation of the paper "RRT-Plan: A randomized algorithm for STRIPS planning"
🌍 Leaderboard Repository for "AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agent", ACL2024
Planning tasks succinctly represent labeled transition systems, with each ground action corresponding to a label. This granularity, however, is not necessary for solving planning tasks and can be harmful, especially for model-free methods. In this work, we propose automatic approach to reduce the label sets for planning domains.
KLEP (Key-Lock-Executable-Process) is a groundbreaking AI framework that utilizes symbolic AI for dynamic decision-making. It integrates keys, locks, executables, and processes to foster ethical, modular, and transparent AI applications, offering a novel approach for developers and researchers in AI and cognitive science.
A behavior tree library to integrate with i.e Unity Game Engine for controlling agents / AIs / NPCs
ABL-Unity3D is a GUI-based and efficient Genetic Programming (GP) and AI Planning framework designed for agent-based learning (ABL) research.
Add a description, image, and links to the ai-planning topic page so that developers can more easily learn about it.
To associate your repository with the ai-planning topic, visit your repo's landing page and select "manage topics."