sanelyx,SaneLYX,github

morl

Paper《A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation》

multi-agent-transformer

Paper《Multi-Agent Reinforcement Learning is a Sequence Modeling Problem》

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

nndl.github.io

《神经网络与深度学习》邱锡鹏著 Neural Network and Deep Learning

noisy-mappo

Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

on-policy

Paper《The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games》

phd-thesis-projects

This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop

pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch-drl4vrp

Paper《Deep Reinforcement Learning for Solving the Vehicle Routing Problem》

quantumzero

Paper《Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks》

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

reinforcement-implementation

Implementation of benchmark RL algorithms

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rl-job-shop-scheduling

Paper《A Reinforcement Learning Environment For Job-Shop Scheduling》

rl_tsp_4static

Paper《Deep Reinforcement Learning for Multiobjective Optimization》

routingproblemgann

Paper《Solve routing problems with a residual edge-graph attention neural network》

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

tensorflow

An Open Source Machine Learning Framework for Everyone

tianshou

An elegant PyTorch deep reinforcement learning library.

trpo-in-marl

Paper《Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning》

tsp_att-gcrn-mcts

Paper《Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances》

tsp_drl_ptrnet

Paper《Neural Combinatorial Optimization with Reinforcement Learning》

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