Alternatives and similar repositories for bidding_learning

Users that are interested in bidding_learning are comparing it to the libraries listed below

• AlbertoCastelo / resource-allocation-opt
  Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python
  ☆31Updated 7 years ago
• sailik1991 / MarkovGameSolvers
  This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.
  ☆25Updated 2 months ago
• sailik1991 / StackelbergEquilibribumSolvers
  Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.
  ☆36Updated 5 years ago
• lry-bupt / MAAC_DRL
  This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…
  ☆15Updated last year
• rauniyar01 / Energy-Efficiency-in-Reinforcement-Learning
  Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'
  ☆22Updated 6 years ago
• MISTCARRYYOU / schedulingattentionmodel
  The light codes for the paper published in JMS named 'Solving task scheduling problems in cloud manufacturing via attention mechanism and…
  ☆20Updated 2 years ago
• GeminiLight / flag-vne
  [IJCAI'24 - FlagVNE] Implementation of our paper "FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Reso…
  ☆31Updated 4 months ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆28Updated 7 years ago
• mshokrnezhad / DRL_GNN
  The code shows how we can combine the ideas of deep reinforcement learning and graph neural networks
  ☆28Updated last year
• kshitija2 / Interactive-Multi-objective-Reinforcement-Learning
  Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …
  ☆24Updated 6 years ago
• Zuox99 / Deep-Reinforcement-Learning-Based-Resource-Provisioning-and-Task-Scheduling-for-Cloud-Service-Provid
  Project: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers
  ☆59Updated 4 years ago
• lucasanguinetti / ln-game-theory
  Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless powe…
  ☆61Updated 10 years ago
• wsyCUHK / Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations
  Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations
  ☆150Updated 3 years ago
• mengchengTang / DRL-Energy-optimal-Routing-for-Electric-Vehicles
  Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer
  ☆31Updated 2 years ago
• farismismar / Q-Learning-Power-Control
  Code for the following publication: F. B. Mismar, J. Choi, and B. L. Evans, "A Framework for Automated Cellular Network Tuning with Rein…
  ☆48Updated 3 years ago
• RealVNF / DeepCoord
  DeepCoord: Self-Learning Network and Service Coordination Using Deep Reinforcement Learning
  ☆27Updated 2 years ago
• 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.
  ☆98Updated 4 years ago
• vaibkumr / JobSchedulingRLenv
  Reinforcement learning environment for job scheduling written in python.
  ☆25Updated 5 years ago
• yatharthgarg / Reinforcement-Learning
  Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games
  ☆14Updated 6 years ago
• HolaHansi / game_theory
  Implementing Algorithms for Computing Stackelberg Equilibria in Security Games
  ☆42Updated 8 years ago
• addejans / ACO-JSSP
  Job Shop Scheduling Problem via Ant Colony Optimization
  ☆38Updated 6 years ago
• wuzhy66 / ML-DAM
  Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems
  ☆38Updated last year
• yueludanfeng / Multi-constrainedQoSRouting
  This Project consists of files which contribute to solving multiple-constraints QoS routing problem The Algorithms are as follows : G…
  ☆34Updated 4 years ago
• faramarzQ / resource_allocation_using_machine_learning
  A resource allocation application using machine learning technique assisted by cloud computing implemented in Python
  ☆22Updated 3 years ago
• barrelo89 / IEEE-Internet-of-Things-Journal
  Small Profits and Quick Returns: An Incentive Mechanism Design for Crowdsourcing under Continuous Platform Competition,
  ☆31Updated 4 years ago
• frenkowski / SCIMAI-Gym
  A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
  ☆98Updated last year
• being-aerys / Data_Processing_and_Feature_Engineering_in_Machine_Learning
  This is an attempt to summarize feature engineering methods that I have learned over the course of my graduate school.
  ☆11Updated 3 years ago
• Horn1998 / RL_GNN
  一个基于图神经网络的强化学习网络资源分配模型
  ☆31Updated 3 years ago
• martijnbeeks / drl-order-batching
  Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem
  ☆14Updated 3 years ago
• Steven-Ho / madrl-baselines
  Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.
  ☆13Updated 5 years ago