mctx is a Monte Carlo Tree Search (MCTS) library developed by Google DeepMind for reinforcement learning research. It enables efficient and flexible implementation of MCTS algorithms, including those used in AlphaZero and MuZero.

Features

  • Provides a general-purpose Monte Carlo Tree Search (MCTS) framework
  • Supports AlphaZero, MuZero, and other learning-based MCTS variants
  • Integrates with JAX for hardware-accelerated computations
  • Designed for deep reinforcement learning and planning research
  • Highly customizable search strategies and rollout policies
  • Optimized for large-scale parallel computations

Project Samples

Project Activity

See All Activity >

License

Apache License V2.0

Follow Mctx

Mctx Web Site

Other Useful Business Software
Full-stack observability with actually useful AI | Grafana Cloud Icon
Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Mctx!

Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Algorithms

Registered

2025-03-13