Learning World Graphs to Accelerate Hierarchical Reinforcement Learning

1 July 2019

Papers citing "Learning World Graphs to Accelerate Hierarchical Reinforcement Learning"

8 / 8 papers shown

Title
Long-horizon video prediction using a dynamic latent hierarchy Alexey Zakharov Qinghai Guo Z. Fountas 31 4 0 29 Dec 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 32 28 0 26 Sep 2022
Interaction Modeling with Multiplex Attention Fan-Yun Sun Isaac Kauvar Ruohan Zhang Jiachen Li Mykel Kochenderfer Jiajun Wu Nick Haber 24 19 0 23 Aug 2022
Variational Predictive Routing with Nested Subjective Timescales Alexey Zakharov Qinghai Guo Z. Fountas BDL AI4TS 43 9 0 21 Oct 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 25 4 0 03 Jun 2021
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,111 0 22 Oct 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 42 24 0 11 Apr 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 371 11,700 0 09 Mar 2017