leev12

multiagent-particle-envs

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

Double-Deep-Q-Learning-for-Resource-Allocation

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

DRL-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

light_mappo

Lightweight version of MAPPO to help you quickly migrate to your local environment.

Metaheuristic-Implementations

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

MorvanZhou-Reinforcement-learning-with-tensorflow

easy-rl

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

sams

山姆抢购

RCNN_MDP

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.