Blocks World AI
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Updated
Jul 8, 2019 - Python
Blocks World AI
3D version of the classic Blocksworld environment for reinforcement learning
AI heuristic search project
This repository contains files related to Artificial Intelligence (Spring 2022).
LLM agent planning with world models and Monte Carlo Tree Search, evaluated against a direct-prompting baseline on Blocksworld.
My solution to BW20019 assignment for Artificial Intelligence course in UoM.
Offline-first LLM planning agent benchmarked against optimal: verifier-guided search over deterministic planning domains (GridWorld, Blocksworld, Delivery) with ground-truth A* baselines.
A console program for manipulating blocks in a 2d world
Artificial intelligence automated planning and scheduling.
Blocks world problem solver with A* search
Moves Blocksworld worlds and models between accounts
Visual blocksworld simulation with Pygame GUI and Flask REST API for AI planning research. Features 50 scenarios, multiple constraint sets, and LLM integration via MCP.
This project implements an AI agent that can play the Box Worlds game using the Best First Algorithm.
Corrections du TP d'AAIA sur le problème du Monde des Blocs (Blocks World Problem) avec A* et AWA*, dans le cadre du cours de 3IF, INSA Lyon.
Solver for the planning problem called "Blocks World" with implementation in Python.
Solver for the planning problem called "Blocks World" with implementation in Golang.
What parallel commitment costs a masked diffusion LM: a 4-page note, measured on a task with a decidable verifier. Produced by the Rust stack (candle-mi -> canvas).
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