timefly-1989's repositories
abstreet
A traffic simulation game exploring how small changes to roads affect cyclists, transit users, pedestrians, and drivers.
alignment
ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward
CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
coperception
SDK for multi-agent collaborative perception.
Flappy-bird-deep-Q-learning-pytorch
Deep Q-learning for playing flappy bird game
gym_multirotor
Gym environments used in the paper: "Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors"
KLineChart
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.（可高度自定义的轻量级k线图，无第三方依赖，支持移动端）
LogisticsEnv
UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D
ma-gym
A collection of multi agent environments based on OpenAI gym.
maro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
mate
MATE: the Multi-Agent Tracking Environment.
Mava
A library of multi-agent reinforcement learning components and systems
multi_uav_simulator
A quadrotor swarm simulator based on ROS (Robot Operating System).
MultiAgentPerception
Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"
PhD-Dissertation-SASS
Multi-agent systems (MAS) could play a pivotal role in realizing future intelligent workspaces, especially in building so-called artificial social systems, such as self-driving cars and multi-robot systems (MRS). For example, MAS/MRS cooperates to increase mission performance in many applications, including exploration, surveillance, defense, humanitarian, and emergency missions like urban search and rescue.
pibt2
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
rl-multi-agent-car-parking
Multi-Agent Car Parking using Reinforcement Learning
smac_plus
An open source benchmark for Multi Agent Reinforcement Learning
SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
SMARTS-lite
Scalable Multi-Agent RL Training School for Autonomous Driving -> SMARTS
spatial-intention-maps
Learning multi-agent robotic mobile manipulation with deep reinforcement learning
sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Traffic-SImulation-and-Visualization
Traffic Intersection Simulation Using C++ and Qt
traffic-simulation-de
Source code for javascript simulation of website
VectorizedMultiAgentSimulator
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
warp-drive
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU