ZIYU-DEEP / Awesome-Papers-on-Combinatorial-Semi-Bandit-ProblemsLinks
A curated list on papers about combinatorial multi-armed bandit problems.
☆17Updated 4 years ago
Alternatives and similar repositories for Awesome-Papers-on-Combinatorial-Semi-Bandit-Problems
Users that are interested in Awesome-Papers-on-Combinatorial-Semi-Bandit-Problems are comparing it to the libraries listed below
Sorting:
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 6 years ago
- ☆14Updated last year
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆86Updated 4 years ago
- ☆13Updated 3 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆95Updated 3 years ago
- Replication Code for Paper "Stochastic Optimization Forests".☆20Updated 3 years ago
- Implementation of inventory control policy parameters computation algorithms☆19Updated 3 years ago
- More about the exploration-exploitation tradeoff with harder bandits☆24Updated 6 years ago
- Online Convex Optimization algorithms in Python☆12Updated 3 years ago
- Integration of DNN framework with Stochastic Multi-echelon Inventory Optimization (SMEIO)☆7Updated 4 years ago
- ☆33Updated 4 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- Implementation of Optimal Auctions through Deep Learning☆128Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- Bandit algorithms simulations for online learning☆88Updated 5 years ago
- ☆35Updated 5 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆33Updated 4 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆77Updated 11 months ago
- Multi-Armed Bandit Algorithms Library (MAB)☆133Updated 2 years ago
- ☆26Updated 4 years ago
- A general framework for learning spatio-temporal point processes via reinforcement learning☆31Updated 4 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆78Updated 2 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆38Updated 6 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆41Updated 5 years ago
- inventory simulation modules for single-echelon supply chain☆13Updated 6 years ago
- ☆10Updated 3 years ago
- This repository contains codes for paper: Generalized Linear Bandits with Local Differential Privacy by Yuxuan Han, Zhipeng Liang, Yang W…☆15Updated 3 years ago
- Code for the experiments of Matrix Factorization Bandit☆24Updated 6 years ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆11Updated 3 months ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year