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qst75693's Projects

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Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms

clash-verge-rev

Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)

ddpg_biped

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

deeprl_network

multi-agent deep reinforcement learning for networked system control.

episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory

grape

The source code for the paper "Anonymous Hedonic Game for Task Allocation in a Large-Scale Multiple Agent System" in T-RO (10.1109/TRO.2018.2858292)

gtrxl-starcraft

Implementation of the Gated Transformer XL with PPO to create a Starcraft 2 A.I

harl

Official implementation of HARL algorithms based on PyTorch.

icra2017-visual-navigation

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

learninghumanoidwalking

Training a humanoid robot for locomotion using Reinforcement Learning

light_mappo

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

machine-learning-homework

Matlab Coding homework for Machine Learning机器学习吴恩达

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

mean-field-multi-agent-reinforcement-learning

Mean Field Multi-Agent Reinforcement Learning

mine-

Mutual Information Neural Estimation in Pytorch

minirl_ppo_lstm

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

ml_practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

multi-agent-deep-deterministic-policy-gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

This project shows the area division process in Multi-Agent exploration using Cyclic Gradient Descent and also how Cooperative Perceptional Messages are used in V2V communication to share information among agents in about the environment.

multiagent-particle-envs

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

noisy-mappo

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

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

pmic_information_collaboration

Original PyTorch implementation of PMIC from PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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