[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
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Updated
Jan 16, 2025 - Python
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
A curated list of Monte Carlo tree search papers with implementations.
Pytorch Implementation of MuZero
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
Tree Implementation and Methods for Python, integrated with list, dictionary, pandas and polars DataFrame.
[ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
RFTT: Reasoning with Reinforced Functional Token Tuning
A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.
A 2048 Bot written in Python using an adversarial search algorithm. Uses screen grabbing to determine the game state and a basic tree search to calculate moves.
Implementation of SPW and DPW for Monte Carlo Tree Search in Continuous action/state space
Introduction to Reinforcement Learning in Python
Implement Algorithms For Graph Search (like A*) & Local Search (like hill climbing algorithms) & Genetics
Deep Learning Assisted Heuristic Tree Search for the Container Pre-marshalling Problem
A Simulator for complex logistic environments
Exercises for AGH UST "Introduction to AI" course to practice state space search algorithms
The official PyTorch implementation for the Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence
Manipulating trees
AI for the game "Connect Four". Available on PyPI.
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