In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
Appears on
Quick read
Latest capture 2026-08-10 03:06
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
2 observed captures since 2026-07-19. Observed captures are shown by default.
Stars from first capture 0
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Python sample codes and textbook for robotics algorithms.
AI-native, free, open-source alternative to Jira, Trello, ClickUp & Monday. Built for Scrum teams where humans and AI agents collaborate as equals — on the same board, the same sprints, the same goals. Self-hosted. Fully customizable via config and plugins.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
This is an AI agent for Street Fighter II Champion Edition.
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
