03 Mar

Decentralized Input And State Estimation Test Result

Zida Wu

08 Dec

3D-CHESS: problem description from our part

Zida Wu

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...

18 Mar

ICRA 2020 Slides

Zida Wu

11 Mar

Summary of Current Questions of Team-based Mean-field solution to MARL

Zida Wu

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...

04 Feb

From Individual RL to Multi-agent Mean-field RL

Zida Wu

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...

28 Jan

Mean-field Improvement1: add the observation range

Zida Wu

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...

20 Jan

Test result: Mean-field Multi-agent Reinforcement Learning Platform

Zida Wu

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...

30 Nov

Multi-agent Reinforcement Learning Environments

Zida Wu

09 Nov

State-of-Art Decentralized Solutions to Cooperative MDRL problems

Zida Wu

26 Oct

Decentralized Training and Execution in Multi-agent System

Zida Wu

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