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15 search results found
Applied Ml
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24,828
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Awesome Deep Learning Papers For Search Recommendation Advertising
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1,167
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Awesome Monte Carlo Tree Search Papers
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537
A curated list of Monte Carlo tree search papers with implementations.
Hypernets
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256
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Deepcubea
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106
Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.
Neural_architecture_search_with_reinforcement_learning_appendix_a
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55
Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer
Mcts Agent Python
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48
Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.
Neural Architecture Search With Rl
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37
Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
Single Player Mcts
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15
🌳 Python implementation of single-player Monte-Carlo Tree Search.
Neural Architecture Search
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11
Re-implementation of Neural Architecture Search using Reinforcement Learning
Neural_optimizer_search
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9
An implementation of ICML 2017 paper <<Neural Optimizer Search with Reinforcement Learning>> https://arxiv.org/abs/1709.07417
Luandri
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8
A Clean Lua Interface to the Indri Search Engine for Torch.
Artificial Intelligence The Pacman Projects
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6
Pacman Artificial Intelligence Python project for UC Berkeley CS188 Intro to AI
P3s
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5
Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
Pycreps
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5
Contextual Relative Entropy Policy Search for Reinforcement Learning in Python
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