Pinned Repositories
consensus-based-bundle-algorithm
Implementation of Consensus Based Bundle Algorithm (CBBA) with python
DRQN-Pytorch-CartPole-v1
Deep recurrent Q learning on CartPole-v1 environment
GNN_RL
reinforcement learning with pytorch geometric library
MRTA_DRL
The deep reinforcement learning method for multi-robot task allocation problem SR-ST-TA
multiprocessing-python
Practice
PG-Family
Basic PG Reinforcement algorithms
ROS-Cheat-Sheet
ROS command cheat sheet
Sequential-Greedy-Algorithm
sequential greedy algorithm for multi robot task allocation
Task_Allocation_MILP_Gurobi
task allocation modeling with the Gurobi (Academic License)
uav_comm_relay
UAV communication relay algorithm to support fleet mission
keep9oing's Repositories
keep9oing/DRQN-Pytorch-CartPole-v1
Deep recurrent Q learning on CartPole-v1 environment
keep9oing/GNN_RL
reinforcement learning with pytorch geometric library
keep9oing/MRTA_DRL
The deep reinforcement learning method for multi-robot task allocation problem SR-ST-TA
keep9oing/consensus-based-bundle-algorithm
Implementation of Consensus Based Bundle Algorithm (CBBA) with python
keep9oing/Sequential-Greedy-Algorithm
sequential greedy algorithm for multi robot task allocation
keep9oing/multiprocessing-python
Practice
keep9oing/PG-Family
Basic PG Reinforcement algorithms
keep9oing/Task_Allocation_MILP_Gurobi
task allocation modeling with the Gurobi (Academic License)
keep9oing/uav_comm_relay
UAV communication relay algorithm to support fleet mission
keep9oing/2020-RL-Term-Project
keep9oing/keep9oing
keep9oing/ORTOOLS_PRACTICE
keep9oing/pyGRAPE
keep9oing/swarming_sim
A simulator for commonly-used swarming techniques.
keep9oing/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.
keep9oing/deap
Distributed Evolutionary Algorithms in Python
keep9oing/DeepSoccer
keep9oing/difftaichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
keep9oing/DQN-Family
DQN variants
keep9oing/DRL-submit-2021
keep9oing/gym-herding
Leader-agent herding OpenAI Gym Environment
keep9oing/lazy-message-listener-flocking
I AM lazy too
keep9oing/lazy_flocking_rl
keep9oing/MADRL
Repo containing code for multi-agent deep reinforcement learning (MADRL).
keep9oing/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.
keep9oing/robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
keep9oing/space-simulator
SPACE (Swarm Planning And Contorl Evaluation) Simulator
keep9oing/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.
keep9oing/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)
keep9oing/TSP_DRL_PtrNet
PyTorch1.6, "Neural Combinatorial Optimization with Reinforcement Learning", Pointer Networks, Deep RL(Actor-Critic), Traveling Salesman Problem