sophieyueguo

MARL-Algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

hierarchical_IL_RL

Code for hierarchical imitation learning and reinforcement learning

ucb-pacman-multiagent-reinforcement

Demo Video

MADRL

Repo containing code for multi-agent deep reinforcement learning (MADRL).

dl-4-tsc

Deep Learning for Time Series Classification

UCR_Time_Series_Classification_Deep_Learning_Baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

Hands-On-Transfer-Learning-with-Python

Hands On Transfer Learning with Python, published by Packt

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

DeepRL

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

Negotiation-based-MARL

Source code for journal paper "Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer"

Warehouse_Robot_Path_Planning

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

hierarchical-skill-acquisition

Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong, and Richard Socher

ARIMA

Simple python example on how to use ARIMA models to analyze and predict time series.

ezsploit

Linux bash script automation for metasploit

DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

TL-DCRNN

diderot-course

Sample Diderot course

gail_gym

Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

AI_for_everyone

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

Norms-MDP

Java implementation of work using LTL to represent moral and social norms for agents in MDPs.

corner.py

Make some beautiful corner plots