Alternatives and similar repositories for flow

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

• amodeus-science / amod
  Autonomous Vehicles Intelligence Analysis
  ☆39Updated 4 years ago
• bstriner / pysumo
  Python module for running SUMO traffic simulations
  ☆39Updated 8 years ago
• amodeus-science / amodeus
  Autonomous Mobility-on-Demand Extremely Useful Simulation
  ☆50Updated 11 months ago
• fidler-lab / social-driving
  Design multi-agent environments and simple reward functions such that social driving behavior emerges
  ☆135Updated 4 years ago
• bstriner / gym-traffic
  OpenAI Gym Environment for Traffic Control
  ☆77Updated 8 years ago
• intelaligent / tctb
  Traffic Control Test Bed
  ☆27Updated 5 years ago
• illidanlab / Simulator
  Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
  ☆213Updated 6 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆74Updated 3 years ago
• BerkeleyAutomation / Urban_Driving_Simulator
  FLUIDS is a lightweight driving simulator for benchmarking Deep Reinforcement and Imitation learning algorithms.
  ☆24Updated 6 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆84Updated 4 years ago
• madras-simulator / MADRaS
  Multi-Agent DRiving Simulator
  ☆92Updated 4 years ago
• MADPToolbox / MADP
  The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
  ☆82Updated 4 years ago
• lcodeca / PyPML
  Python Parking Monitoring Library for SUMO
  ☆18Updated 5 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 4 years ago
• cathywu / flow
  Computational framework for reinforcement learning in traffic control
  ☆43Updated 6 years ago
• abhisheknaik96 / MultiAgentTORCS
  The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of…
  ☆145Updated 6 years ago
• sisl / gail-driver
  ☆114Updated 7 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆64Updated 4 years ago
• google-research / rl-reliability-metrics
  The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …
  ☆165Updated 2 years ago
• laxatives / rl
  Illustrated Examples from Sutton and Barto
  ☆36Updated 2 years ago
• bark-simulator / bark-ml
  Gym environments and agents for autonomous driving.
  ☆102Updated last year
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆45Updated 5 years ago
• Atcold / pytorch-PPUU
  Code for Prediction and Planning Under Uncertainty (PPUU)
  ☆212Updated 2 years ago
• lcodeca / MoSTScenario
  Monaco SUMO Traffic (MoST) Scenario
  ☆95Updated 2 years ago
• tegg89 / magnet
  MAGNet: Multi-agents control using Graph Neural Networks
  ☆132Updated 6 years ago
• intel / cerl
  ☆71Updated 2 years ago
• lcodeca / rllibsumoutils
  Python3 library able to connect the RLLIB framework with the SUMO simulator.
  ☆27Updated 4 years ago
• RL-INA / LemgoRL
  ☆25Updated 3 years ago
• naronald / SUMOoD
  Modelling bus-on-demand using SUMO and TraCI.
  ☆19Updated 11 years ago
• megacell / python-traffic-assignment
  towards a working Frank-Wolfe implementation of the equilibrium assignment in Python
  ☆51Updated 8 years ago