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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

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Algorithms

Registered

2025-03-13

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