Alternatives and similar repositories for supply-chain-simulation-environment

Users that are interested in supply-chain-simulation-environment are comparing it to the libraries listed below

• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆19Updated 2 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 7 years ago
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆57Updated 5 years ago
• airbus / scikit-decide
  AI framework for Reinforcement Learning, Automated Planning and Scheduling
  ☆181Updated 3 weeks ago
• automl / learning_environments
  We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
  ☆21Updated 2 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆35Updated 4 years ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆18Updated last year
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆43Updated 6 years ago
• causalincentives / pycid
  Library for graphical models of decision making, based on pgmpy and networkx
  ☆111Updated 2 years ago
• google-research / tf-opt
  ☆41Updated last week
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 3 years ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆40Updated 2 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 6 years ago
• LLNL / Abmarl
  Agent Based Modeling and Reinforcement Learning
  ☆77Updated last year
• rtm2130 / SPOTree
  ☆33Updated 5 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆139Updated 3 years ago
• unit8co / medium-tsp
  Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"
  ☆58Updated 5 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆34Updated last week
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 6 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 3 years ago
• causal-rl-anonymous / causal-rl
  ☆48Updated 3 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• D3M-Research-Group / odtlearn
  A package for tree-based statistical estimation and inference using optimal decision trees.
  ☆41Updated last year
• Networks-Learning / strategic-decisions
  Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
  ☆29Updated last year
• guaguakai / surrogate-optimization-learning
  ☆18Updated 4 years ago
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆139Updated 2 years ago
• bruscalia / tsp-app
  An optimization app for the Traveling Salesman Problem
  ☆30Updated 2 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated last year
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆77Updated 6 years ago