Advice needed for small project on deep reinforcement Learning

I'm a student and want to create my own RL project to add on CV and give myself some experience. I have implemented Relational Deep Reinforcement Learning framework tested on boxworld (See DeepMind "Relational Deep Reinforcement Learning" paper (2018)). The paper uses an actor-critic method but this is a single player. What I want to do now is add one more agent and that the reward can be shared and see if the agent would learn faster.

I also have the said "shared-reward actor-critic" framework in python but this is from another studies. Due to my lack of experience, I'm stuck on how to create a multi-agent environment with this implementation of this share-reward framework into the current work. I want some guidance by experts that can teach me how to do so.

Evner: Python, Machine Learning (ML), Kunstig intelligens, Tensorflow, Deep Learning

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Om arbejdsgiveren:
( 0 bedømmelser ) Vladivostok, Russian Federation

Projekt ID: #30987118

1 freelancer byder i gennemsnit $167 på dette job


I am an expert in Machine learning and signal processing with several years hands on experience in deep learning and multiagent reinforcement learning development in MATLAB and Phython. I have recently developed multia Flere

$167 USD in 2 dage
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