Lunj12 / RL-Bandits-with-Knapsacks

Related projects ⓘ

Alternatives and complementary repositories for RL-Bandits-with-Knapsacks

• cornell-orie / ORSuite
  ☆16Updated last year
• mamadpierre / DNN-SMEIO
  Integration of DNN framework with Stochastic Multi-echelon Inventory Optimization (SMEIO)
  ☆8Updated 3 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆36Updated 4 months ago
• xiaotianliu01 / Multi-Agent-Deep-Reinforcement-Learning-on-Multi-Echelon-Inventory-Management
  Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…
  ☆22Updated 2 years ago
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 4 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆25Updated 6 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆66Updated 3 months ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆13Updated 3 years ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆13Updated 3 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆34Updated 5 years ago
• vaibkumr / JobSchedulingRLenv
  Reinforcement learning environment for job scheduling written in python.
  ☆23Updated 4 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago
• antoinedesir / RUMnet
  ☆9Updated last year
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆37Updated 5 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆18Updated 11 months ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆15Updated 4 months ago
• JorenGijsbrechts / DRL_A3C_inventory
  ☆18Updated 3 years ago
• anshul-musing / single-echelon-inventory-assessment
  inventory simulation modules for single-echelon supply chain
  ☆13Updated 5 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 2 years ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆19Updated 3 years ago
• martijnbeeks / drl-order-batching
  Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem
  ☆11Updated 2 years ago
• WXY1427 / Learn-LNS-policy
  ☆30Updated 2 years ago
• d3group / ddop
  Data-Driven operations management - https://d3group.github.io/ddop
  ☆16Updated 5 months ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆14Updated 6 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆17Updated last year
• lyeskhalil / mipGNN
  ☆21Updated 3 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆45Updated 4 years ago
• liangxinedu / stepwise
  ☆20Updated 3 years ago
• rtm2130 / SPOTree
  ☆28Updated 4 years ago