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Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation

20 April 2016

Papers citing "Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation"

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Title
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development Aref Hakimzadeh Yanbo Xue P. Setoodeh 37 6 0 01 Feb 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information Zhengqi He Taro Toyoizumi 41 1 0 08 Jan 2021
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning Yangyang Zhao Zhenyu Wang Zhenhua Huang OffRL 153 19 0 28 Dec 2020
Augmenting Policy Learning with Routines Discovered from a Single Demonstration Zelin Zhao Chuang Gan Jiajun Wu Xiaoxiao Guo J. Tenenbaum OffRL 82 5 0 23 Dec 2020
Hierarchical principles of embodied reinforcement learning: A review Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 101 10 0 18 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 154 95 0 17 Dec 2020
Active Hierarchical Imitation and Reinforcement Learning Yaru Niu Yijun Gu 106 1 0 14 Dec 2020
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks Jiahao Yao Paul Köttering Hans Gundlach Lin Lin Marin Bukov 95 14 0 12 Dec 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 92 145 0 19 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem Eric T. Chung Y. Efendiev W. Leung Sai-Mang Pun Zecheng Zhang 46 12 0 17 Nov 2020
Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network Yuanzhe Geng Erwu Liu Rui Wang Yiming Liu 22 0 0 10 Nov 2020
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning Kaleb Ben Naveed Zhiqian Qiao John M. Dolan 45 58 0 09 Nov 2020
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning Zhiqian Qiao J. Schneider John M. Dolan 40 23 0 09 Nov 2020
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together Shanqi Liu Licheng Wen Jinhao Cui Xuemeng Yang Junjie Cao Yong Liu 46 9 0 04 Nov 2020
Abstract Value Iteration for Hierarchical Reinforcement Learning Kishor Jothimurugan Osbert Bastani Rajeev Alur 51 23 0 29 Oct 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling Xin Ye Yezhou Yang 76 15 0 16 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review Nahid Parvez Farazi T. Ahamed Limon Barua Bo Zou AI4TS 69 18 0 13 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning Hassam Sheikh Shauharda Khadka Santiago Miret Somdeb Majumdar OffRL 59 7 0 08 Oct 2020
Provable Hierarchical Imitation Learning via EM Zhiyu Zhang I. Paschalidis 67 17 0 07 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 148 222 0 06 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 79 9 0 03 Oct 2020
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution Vihang Patil M. Hofmarcher Marius-Constantin Dinu Matthias Dorfer P. Blies Johannes Brandstetter Jose A. Arjona-Medina Sepp Hochreiter 134 44 0 29 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 47 1 0 16 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 223 628 0 10 Sep 2020
Exploration with Intrinsic Motivation using Object-Action-Outcome Latent Space M. Sener Y. Nagai Erhan Öztop Emre Ugur 61 0 0 26 Aug 2020
Hierarchical Style-based Networks for Motion Synthesis Jingwei Xu Huazhe Xu Bingbing Ni Xiaokang Yang Xinyu Wang Trevor Darrell 3DH 88 31 0 24 Aug 2020
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation Fei Xia Chengshu Li Roberto Martín-Martín Or Litany Alexander Toshev Silvio Savarese 79 79 0 18 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 115 17 0 11 Aug 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 63 4 0 24 Jul 2020
On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms Dongjae Kim J. Lee J. Shin M. Yang Sang Wan Lee OffRL 25 2 0 09 Jul 2020
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location Rasheed el-Bouri D. Eyre Peter Watkinson T. Zhu David Clifton OOD 77 34 0 01 Jul 2020
Few-shots Parallel Algorithm Portfolio Construction via Co-evolution Ke Tang Shengcai Liu Peng Yang Xin Yao 49 1 0 01 Jul 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 142 65 0 01 Jul 2020
Regularly Updated Deterministic Policy Gradient Algorithm Shuai Han Wenbo Zhou Shuai Lu Jiayu Yu 23 22 0 01 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 120 49 0 30 Jun 2020
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 96 75 0 29 Jun 2020
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples Zhe Xu Bo Wu Aditya Ojha Daniel Neider Ufuk Topcu OffRL 89 30 0 28 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 131 9 0 26 Jun 2020
SOAC: The Soft Option Actor-Critic Architecture Chenghao Li Xiaoteng Ma Chongjie Zhang Jun Yang L. Xia Qianchuan Zhao 50 6 0 25 Jun 2020
PICO: Primitive Imitation for COntrol Corban G. Rivera K. Popek C. Ashcraft Edward W. Staley Kapil D. Katyal B. Paulhamus 18 0 0 22 Jun 2020
Hierarchical Reinforcement Learning for Deep Goal Reasoning: An Expressiveness Analysis Weihang Yuan Hector Muñoz-Avila 19 1 0 21 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 103 87 0 20 Jun 2020
Feudal Steering: Hierarchical Learning for Steering Angle Prediction Faith Johnson Kristin J. Dana LLMSV 75 11 0 11 Jun 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 77 34 0 02 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 143 226 0 01 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 112 53 0 30 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 56 20 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 75 19 0 13 May 2020
Curious Hierarchical Actor-Critic Reinforcement Learning Frank Röder Manfred Eppe Phuong D. H. Nguyen S. Wermter 64 21 0 07 May 2020
Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning Julien Horwood Emmanuel Noutahi AI4CE 69 69 0 29 Apr 2020