*Dec*

Summary:\ In this project, there is a netowrk of SWOT satellites with 5 altimeters satellites and 1 camera satellite running on different orbits. Each of them has different sensor to detect the ground points of the river. The goal is to decide whether the flood happens or not. For our part, we w...

*Mar*

This blog posts summarize the current questions on team-based mean-field theory. Mainly about: Gap between continuous portion of agents vs.. integer agents number Influence of numbers of agents Stationary distribution assumption Upper bound of k-hop neighbour error - exponential decay prop...

*Feb*

These slides are presented in group meeting. Talking about the evolution from individual Reinforcement Learning towards multi-agent mean-field algorithms. Especially, one of emphasis is that we discussed two different strategies based on mean-field. In order to understand easily, we named them age...

*Jan*

This improvement is based on the previous posts, corresponding to the first step: Step 1: Deal with information problem: using only closest neighborhood information. Code is here The main improvent is to set the observation field. Current mean-field assumes all agents' information are av...

*Jan*

Paper Target: IROS 2022 Current open source mean-field reinforcement learning code, which is based on MAgent Blue: Group 1 (Proposed Algorithm)Red: Group 2 (Opponent) Algorihtm Information Collision Task Current using all agents as neighborhood One state (position) only...