Dec 18, 2018 · Our proposed universal successor features approximators (USFAs) combine the advantages of all of these, namely the scalability of UVFAs, the ...
scholar.google.com › citations
Dec 20, 2018 · The main approach, Universal Successor Features Approximators (USFAs) is a combination of two recent approaches: Universal Value Function ...
Our proposed universal successor features approximators (USFAs) combine the advantages of all of these, namely the scalability of UVFAs, the instant inference ...
Sep 6, 2024 · Our proposed universal successor features approximators (USFAs) combine the advantages of all of these, namely the scalability of UVFAs, the ...
This work discusses the challenges involved in training a USFA, its generalisation properties and demonstrates its practical benefits and transfer abilities ...
This repository contains implementations of USF-A3C Target Driven Visual Navigation. The discription of each model can be found in the following discription.
For the first time in the literature, we apply Universal Successor Feature Approximators. (USFA) for the complex task of target driven visual navigation. Our ...
Sep 12, 2024 · In this work, we investigate the utility of a stacked, continuous-control variation of universal successor feature approximation (USFA) adapted ...
Universal Successor Features Approximators (USFAs). Implementation of USFAs: https://arxiv.org/pdf/1812.07626.pdf ...
The main idea is to to construct a single function approximator. V (s; θ) that estimates the long-term reward from any state s, using parameters θ. In this ...