YoZo-X

DRL-Router

DRL-Router is a method based on distributional reinforcement learning for RSP problem。

PD-FAC

Python implement of paper "PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search"

GE-DDRL

The source code for "GE-DDRL: Graph Embedding and DeepDistributional Reinforcement Learning for ReliableShortest Path: A Universal and Scale Free Solution".

Deep-Reinforcement-Learning-With-Python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

FQF-and-Extensions

PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.

Multi-Component-Graph-Convolutional-Collaborative-Filtering

Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"

OpenCDA

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

SE-GAC

SEGAC

The implementation of our SE-GAC paper.