Mar 3, 2017 · Abstract:We introduce FeUdal Networks (FuNs): a novel architecture for hierarchical reinforcement learning. Our approach is inspired by the ...

The framework we propose takes inspiration from feudal reinforcement learning (FRL) introduced by Dayan & Hin- ton (1993), where levels of hierarchy within an ...

We introduce FeUdal Networks (FuNs): a novel architecture for hierarchical reinforcement learning. Our approach is inspired by the feudal reinforcement ...

Apr 29, 2020 · FeUdal Networks present a large stepping stone for reinforcement learning, giving agents the ability to autonomously decompose a task with ...

Manager: Goal embedding. ○ Lower Temporal Resolution, goals summed over last 10 time steps. (goals vary smoothly). ○ Uses dilated LSTM.

FeUdal Networks for Hierarchical Reinforcement Learning. This is an implementation of FuN with Pytorch. Install.

Dec 12, 2020 · Hi! Recently I've taken another look at FeUdal Networks for Hierarchical Reinforcement Learning since it's a very interesting approach imo. I've ...

This work introduces FeUdal Networks (FuNs), a novel architecture for hierarchical reinforcement learning inspired by the feudal reinforcement learning ...

This paper shows how to create a Q-learning managerial hierarchy in which high level managers learn how to set tasks to their sub-managers who, in turn, learn ...

An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161 - davidhershey/feudal_networks.