rvats20/UM-Game-Playing-Strength-of-MCTS
MCTS is a widely used search algorithm for developing agents that can play board games intelligently. Over the past two decades, researchers have proposed dozens, if not hundreds, of MCTS variants. Despite this, it's been challenging to determine which variants are best suited for specific types of games.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/rvats20/UM-Game-Playing-Strength-of-MCTS"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/agent-starter-pack
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in...
quantalogic/quantalogic
Quantalogic ReAct Agent - Coding Agent Framework - Gives a ⭐️ if you like the project
amd/gaia
Build AI agents for your PC
exospherehost/runtime
Runtime for building and managing AI agents and Workflows. Easy to learn, fast to build, High...
anote-ai/Autonomous-Intelligence
Autonomous Intelligence is a framework for building collaborative, intelligent multi agent AI...