Alternatives and similar repositories for optimize-ride-sharing-earnings

Users that are interested in optimize-ride-sharing-earnings are comparing it to the libraries listed below

• UMich-ML-Group / RL-Ridesharing
  Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning
  ☆50Updated 5 years ago
• dingyuan-shi / Learning-To-Dispatch
  Source code of paper Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale (TKDE 2022)…
  ☆23Updated 3 years ago
• juhyeonkim95 / TaxiSimulatorOnGraph
  This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Le…
  ☆33Updated 3 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆23Updated last year
• RL-DLMU / PNC-HDQN
  codes for paper 《Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions》
  ☆13Updated 3 years ago
• manluow / ev-simulator
  ☆11Updated 2 years ago
• DanieleGammelli / gnn-rl-for-amod
  Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
  ☆78Updated 4 years ago
• Dokyyy / IPDALight
  IPDALight for traffic signal control
  ☆18Updated last year
• zxsRambo / metalight
  MetaLight: a value-based meta-reinforcement learning framework for traffic signal control
  ☆39Updated 5 years ago
• FXDevailly / IG-RL
  Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
  ☆62Updated 2 years ago
• wingsweihua / gym_cityflow
  Adds CityFlow to Gym
  ☆29Updated 3 years ago
• mingyxu / MAMR
  Code for Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services
  ☆16Updated 2 years ago
• navid-naderi / GraphMIX
  Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
  ☆33Updated 4 years ago
• Steven-Ho / madrl-baselines
  Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.
  ☆13Updated 5 years ago
• lehduong / Job-Scheduling-with-Reinforcement-Learning
  Learning in Noisy MDP (which is governed by stochastic, exogenous input processes) with input-dependent baseline
  ☆11Updated 4 years ago
• Skylark0924 / Gamma_Reward
  ☆14Updated 3 years ago
• emliang / Multi-Agent-RL
  Paper list of multi-agent reinforcement learning (MARL)
  ☆33Updated 3 years ago
• zhuliwen / RoadnetSZ
  ☆39Updated last year
• LukeLee233 / DRL_GCN_CVRP
  An implementation for CVRP problem with A3C+Attention mechanism and GCN
  ☆17Updated 5 years ago
• emliang / RL-for-Transportation
  Paper list of Reinforcement Learning (RL) applied on transportation
  ☆98Updated 3 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆42Updated 3 years ago
• esmeralday / MARL
  Multi-Agent Reinforcement Learning
  ☆11Updated 5 years ago
• willzhang3 / MASTER-electric_vehicle_charging_recommendation
  ☆57Updated 6 months ago
• only-changer / GeneraLight
  ☆12Updated 4 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆48Updated 3 years ago
• matthieu637 / DFRL
  Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
  ☆11Updated 3 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 5 years ago
• mshokrnezhad / DRL_GNN
  The code shows how we can combine the ideas of deep reinforcement learning and graph neural networks
  ☆25Updated last year
• Chacha-Chen / MPLight
  ☆60Updated 5 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…
  ☆31Updated last year