Communication Maddpg

Using Reinforcement Learning (Machine Learning) in the multiagent-particle-envs. multiagent-particle-envs ...

A demonstration of

A demonstration of MD-

Multi agent deep deterministic policy gradients is one of the first successful algorithms for multi agent artificial intelligence.

Reviews a research paper on the

This work presents a decentralized multi-agent navigation approach that allows agents to coordinate their motion through local ...

Algorithm

Tennis DRL using Multi-Agent Deep Deterministic Policy Gradient (MADDPG)

Testing of algorithm

Part 2/3

A deep reinforcement learning agent trained using the

Part 3/3

MADDPG

Miro Kazakoff, Senior Lecturer, MIT Sloan School of Management - See Miro's full playlist here: ...

Invited talk by Jakob Foerster (Facebook & University of Toronto / Vector Institute) on March 8, 2021 at UCL DARK. Abstract: In ...

ICRA 2021.

We consider the problem of multiple agents sensing and acting in environments with the goal of maximising their shared utility.

The traditional approach to flocking(see my earlier videos) is using a velocity control algorithm. In this video we explore the ...

simple_tag scenario.