[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
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Updated
Aug 27, 2024 - Python
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
MiniZero: An AlphaZero and MuZero Training Framework
datasets for computer go
An implementation of the MuZero algorithm by Google Deepmind. Research paper here: https://arxiv.org/abs/1911.08265
A C++ pytorch implementation of MuZero
Trains a deep reinforcement learning agent in simulation testbed environments with the DRLA library.
Trains deep reinforcement learning agents in Atari environments via the DRLA library.
C++ Deep Reinforcement Learning Agent library
Deep Q Learning blackbox strategies for casino games
Muesli RL algorithm implementation (PyTorch) (LunarLander-v2)
A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
A Notebook implementation of the Pseudocode from the original Muzero paper
Applying AlphaZero Self-Play Tactics to LLaMA for Enhanced Chatbot Interaction
GenesisZERO : potential applications for MCTS agents with LLMs for Sequential decision-making
A PyTorch implementation of DeepMind's MuZero agent
Generalized AI to perform a multitude of tasks written in python3
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
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