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

Users that are interested in RL-Bandits-with-Knapsacks are comparing it to the libraries listed below

• vaibkumr / JobSchedulingRLenv
  Reinforcement learning environment for job scheduling written in python.
  ☆25Updated 5 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆36Updated 6 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆29Updated 7 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆14Updated 4 years ago
• frenkowski / SCIMAI-Gym
  A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
  ☆100Updated last year
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• cornell-orie / ORSuite
  ☆14Updated 2 years ago
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆56Updated 5 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆17Updated 7 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆77Updated 6 years ago
• andvise / inventory-control
  Implementation of inventory control policy parameters computation algorithms
  ☆19Updated 3 years ago
• OptMLGroup / DeepBeerInventory-RL
  The code for the SRDQN algorithm to train an agent for the beer game problem
  ☆84Updated 2 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆26Updated last year
• JorenGijsbrechts / DRL_A3C_inventory
  ☆19Updated 4 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆18Updated 7 years ago
• WXY1427 / Learn-LNS-policy
  ☆34Updated 3 years ago
• Kanishkparganiha / deep-reinforcement-learning-on-multi-echelon-inventory-management
  ☆12Updated 4 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆51Updated 4 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆103Updated 2 years ago
• kishorkukreja / SupplyChainv0_gym
  Reinforcement Learning for Optimal inventory policy
  ☆33Updated 4 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years 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…
  ☆50Updated 3 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆201Updated 5 years ago
• KaiYan289 / RLpapersnote
  ☆47Updated 2 weeks ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 5 years ago
• emliang / Multi-Agent-RL
  Paper list of multi-agent reinforcement learning (MARL)
  ☆40Updated 4 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆84Updated last year
• google-research / tf-opt
  ☆41Updated 3 months ago
• paulorocosta / ai-for-tsp-competition
  This is the official repository of the AI for TSP competition at IJCAI 2021
  ☆26Updated 2 years ago