yuanquanshichu Goto Github PK

decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

explore-bench

introrl

Intro to Reinforcement Learning (强化学习纲要）

magic

Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21

neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

reinforce

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

rl-paper-notes

rrt_exploration

A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.

sqddpg

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.