759 Open source projects that are alternatives of or similar to DeepBeerInventory-RL

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PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

RAD: Reinforcement Learning with Augmented Data

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Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

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A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

MuZero

Python library for Reinforcement Learning.

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Revisiting Rainbow

A Inventory management system written in DJango

Reimplementing cool papers in PyTorch...

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Curriculum Learning related papers and materials

PaperView 是一个自定义的View，它就像一张纸折叠和展开

Examples

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

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Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

No description or website provided.

Collection of books/papers that I've read/I'm going to read/I would remember that they exist/It is unlikely that I'll read/I'll never read.

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Summary of machine learning papers

No description or website provided.

wherein I implement several substructural logics in Agda

Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

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A reference implementation of ”Rendering transparent objects with caustics using real-time ray tracing“ using Unreal Engine 4.25.1.

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An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Code used in the paper "Time Series Clustering via Community Detection in Networks"

Sentence Similarity Estimator (SenSim)

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Deep Reinforcement Learning Algorithms Implementation in PyTorch

Fitness landscape exploration sandbox for biological sequence design.

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Deep Developmental Reinforcement Learning

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Most Advanced POS, Billing, Inventory & Invoicing Software which can perfectly fit on your WholeSale & Retail Business --- Demo :

📚 记录一些自己读过的论文与笔记

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个人博客；论文；机器学习；深度学习；Python学习；C++学习；

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Unofficial! English original and Chinese translation of the paper.