[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"
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.
RFTT: Reasoning with Reinforced Functional Token Tuning
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
Manipulating trees
Benchmark suite for active learning (with surrogate models) in scientific discovery, featuring standardised tasks in materials science and biology 🧪🤖
This paper introduces a theoretical framework for a revolutionary search algorithm that achieves unprecedented speed through a combination of probabilistic data structures, intelligent data partitioning, and a novel hierarchical index structure.
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