Alternatives and similar repositories for DeepBeerInventory-RL:

Users that are interested in DeepBeerInventory-RL are comparing it to the libraries listed below

• JorenGijsbrechts / DRL_A3C_inventory
  ☆19Updated 3 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…
  ☆25Updated 2 years ago
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆55Updated 4 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆83Updated 3 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆20Updated last year
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆91Updated last year
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆183Updated 4 years ago
• Rintarooo / TSP_DRL_PtrNet
  "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
  ☆168Updated 3 years ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆62Updated last year
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆90Updated last year
• hubbs5 / or-gym
  Environments for OR and RL Research
  ☆386Updated last year
• vwxyzjn / invalid-action-masking
  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
  ☆149Updated last year
• DeUmbraTX / practical_rllib_tutorial
  Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning
  ☆62Updated 2 years ago
• AI4Finance-Foundation / RLSolver
  Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
  ☆142Updated 5 months ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆115Updated 2 months ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆126Updated 4 years ago
• tbasaklar / PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…
  ☆26Updated last year
• dmksjfl / Job_Shop_Scheduling_Problem_with_Reinforcement_Learning
  This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.
  ☆92Updated 3 years ago
• sven1977 / rllib_tutorials
  Ray RLlib tutorial material
  ☆115Updated 2 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆164Updated last month
• frenkowski / SCIMAI-Gym
  A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
  ☆79Updated last year
• yeshenpy / ERL-Re2
  This is the official implementation of ERL-Re2.
  ☆60Updated 7 months ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆56Updated 4 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆101Updated 2 years ago
• TheoLvs / reinforcement-learning
  Personal experiments on Reinforcement Learning
  ☆111Updated 3 years ago
• tocom242242 / nash_q_learning
  Nash Q Learning
  ☆30Updated 4 years ago
• deligentfool / dqn_zoo
  The implement of all kinds of dqn reinforcement learning with Pytorch
  ☆92Updated 3 years ago