Minjae Jung's repositories
DRQN-Pytorch-CartPole-v1
Deep recurrent Q learning on CartPole-v1 environment
consensus-based-bundle-algorithm
Implementation of Consensus Based Bundle Algorithm (CBBA) with python
Sequential-Greedy-Algorithm
sequential greedy algorithm for multi robot task allocation
multiprocessing-python
Practice
Task_Allocation_MILP_Gurobi
task allocation modeling with the Gurobi (Academic License)
uav_comm_relay
UAV communication relay algorithm to support fleet mission
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.
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
deap
Distributed Evolutionary Algorithms in Python
difftaichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
DQN-Family
DQN variants
gym-herding
Leader-agent herding OpenAI Gym Environment
lazy-message-listener-flocking
I AM lazy too
MADRL
Repo containing code for multi-agent deep reinforcement learning (MADRL).
OpenRA
Open Source real-time strategy game engine for early Westwood games such as Command & Conquer: Red Alert written in C# using SDL and OpenGL. Runs on Windows, Linux, *BSD and Mac OS X.
robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
spot_mini_mini
Deploying minimal-body-acceleration policy on Spot Micro quadruped using Reinforcement Learning as an Optimization Technique over an Open-Loop Bezier Gait.
swarming_sim
A simulator for commonly-used swarming techniques.
TaxiSimulatorOnGraph
This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (WIP)
TSP_DRL_PtrNet
PyTorch1.6, "Neural Combinatorial Optimization with Reinforcement Learning", Pointer Networks, Deep RL(Actor-Critic), Traveling Salesman Problem