Data-Efficient Hierarchical Reinforcement Learning

21 May 2018

Papers citing "Data-Efficient Hierarchical Reinforcement Learning"

50 / 447 papers shown

Title
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 31 47 0 30 Jul 2020
Learning Compositional Neural Programs for Continuous Control Thomas Pierrot Nicolas Perrin Feryal M. P. Behbahani Alexandre Laterre Olivier Sigaud Karim Beguir Nando de Freitas CLL 46 4 0 27 Jul 2020
Learning the Solution Manifold in Optimization and Its Application in Motion Planning Takayuki Osa 14 2 0 24 Jul 2020
Developing cooperative policies for multi-stage tasks J. Erskine Christopher F. Lehnert 8 0 0 01 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 36 47 0 30 Jun 2020
ELSIM: End-to-end learning of reusable skills through intrinsic motivation A. Aubret L. Matignon S. Hassas 26 5 0 23 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 30 82 0 20 Jun 2020
Feudal Steering: Hierarchical Learning for Steering Angle Prediction Faith Johnson Kristin J. Dana LLMSV 22 11 0 11 Jun 2020
Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts R. Akrour Davide Tateo Jan Peters 28 21 0 10 Jun 2020
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains Nazneen N. Sultana Hardik Meisheri Vinita Baniwal Somjit Nath Balaraman Ravindran H. Khadilkar 17 22 0 07 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization T. Matsushima Hiroki Furuta Y. Matsuo Ofir Nachum S. Gu OffRL 25 147 0 05 Jun 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 29 1 0 21 May 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot M. Schilling Kai Konen F. Ohl Timo Korthals 24 18 0 21 May 2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics Stéphane Doncieux Nicolas Bredèche L. L. Goff Benoît Girard Alexandre Coninx ... Natalia Díaz Rodríguez David Filliat Timothy M. Hospedales A. E. Eiben Richard J. Duro 27 19 0 13 May 2020
Curious Hierarchical Actor-Critic Reinforcement Learning Frank Röder Manfred Eppe Phuong D. H. Nguyen S. Wermter 6 21 0 07 May 2020
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline Thomas Gabor Leo Sünkel Fabian Ritz Thomy Phan Lenz Belzner Christoph Roch Sebastian Feld Claudia Linnhoff-Popien AI4CE VLM 6 26 0 29 Apr 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning Archit Sharma Michael Ahn Sergey Levine Vikash Kumar Karol Hausman S. Gu SSL OffRL 26 46 0 27 Apr 2020
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion Aditi Mavalankar OffRL 35 7 0 17 Apr 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 27 69 0 26 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 30 25 0 14 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 19 150 0 10 Feb 2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning Sha Luo Hamidreza Kasaei Lambert Schomaker CLL 12 46 0 07 Feb 2020
Following Instructions by Imagining and Reaching Visual Goals John D. Kanu Eadom Dessalene Xiaomin Lin Cornelia Fermuller Yiannis Aloimonos 6 7 0 25 Jan 2020
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning Ameya Pore G. Aragon-Camarasa 23 10 0 22 Jan 2020
On the Role of Weight Sharing During Deep Option Learning Matthew D Riemer Ignacio Cases Clemens Rosenbaum Miao Liu Gerald Tesauro OffRL 11 18 0 31 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 37 4 0 21 Dec 2019
Planning with Abstract Learned Models While Learning Transferable Subtasks J. Winder Stephanie Milani Matthew Landen Erebus Oh Shane Parr S. Squire Marie desJardins Cynthia Matuszek 14 10 0 16 Dec 2019
Inter-Level Cooperation in Hierarchical Reinforcement Learning Abdul Rahman Kreidieh Yiling You Nathan Lichtlé Samyak Parajuli Rayyan Nasr Alexandre M. Bayen 45 14 0 05 Dec 2019
A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control Yuguang Yang 14 1 0 25 Nov 2019
State Alignment-based Imitation Learning Fangchen Liu Z. Ling Tongzhou Mu Hao Su 9 92 0 21 Nov 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 81 216 0 19 Nov 2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data Ajay Mandlekar Fabio Ramos Byron Boots Silvio Savarese Li Fei-Fei Animesh Garg Dieter Fox OffRL 34 117 0 13 Nov 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning Qiang Ma Suwen Ge Danyang He D. Thaker Iddo Drori 11 186 0 12 Nov 2019
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 39 10 0 12 Nov 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 66 109 0 04 Nov 2019
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 16 69 0 31 Oct 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta Vikash Kumar Corey Lynch Sergey Levine Karol Hausman 24 423 0 25 Oct 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 30 100 0 24 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning Ashvin Nair Shikhar Bahl Alexander Khazatsky Vitchyr H. Pong Glen Berseth Sergey Levine SSL 32 68 0 23 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 34 3 0 21 Oct 2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards Siyuan Li Rui Wang Minxue Tang Chongjie Zhang 18 82 0 10 Oct 2019
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 33 132 0 06 Oct 2019
Efficient Bimanual Manipulation Using Learned Task Schemas Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 28 73 0 30 Sep 2019
Playing Atari Ball Games with Hierarchical Reinforcement Learning Hua Huang Adrian Barbu 17 0 0 27 Sep 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 29 100 0 23 Sep 2019
Hierarchical Reinforcement Learning for Open-Domain Dialog Abdelrhman Saleh Natasha Jaques Asma Ghandeharioun J. Shen Rosalind W. Picard OffRL 14 59 0 17 Sep 2019
Joint Inference of Reward Machines and Policies for Reinforcement Learning Zhe Xu I. Gavran Yousef Ahmad R. Majumdar Daniel Neider Ufuk Topcu Bo Wu 30 92 0 12 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 31 137 0 12 Sep 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning Wenjie Shi Shiji Song Hui Wu Yachu Hsu Cheng Wu Gao Huang 13 25 0 07 Sep 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 25 53 0 25 Aug 2019