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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"

50 / 493 papers shown

Title
DANLI: Deliberative Agent for Following Natural Language Instructions Yichi Zhang Jianing Yang Jiayi Pan Shane Storks N. Devraj Ziqiao Ma Keunwoo Peter Yu Yuwei Bao J. Chai LM&Ro 143 16 0 22 Oct 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 78 5 0 07 Oct 2022
Multi-Task Option Learning and Discovery for Stochastic Path Planning Naman Shah Siddharth Srivastava 77 2 0 30 Sep 2022
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent W. Z. E. Amri L. Hermes M. Schilling 46 2 0 21 Sep 2022
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation Yoshihisa Tsurumine Takamitsu Matsubara 54 15 0 21 Sep 2022
Spectral Decomposition Representation for Reinforcement Learning Zhaolin Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 98 29 0 19 Aug 2022
Intelligent problem-solving as integrated hierarchical reinforcement learning Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 94 78 0 18 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David Klee Ondrej Biza Robert Platt OffRL 75 1 0 22 Jul 2022
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions Mingzhe Hu Jiahan Zhang L. Matkovic Tian Liu Xiaofeng Yang OffRL 66 56 0 28 Jun 2022
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation Zhixuan Liang Jiannong Cao Shan Jiang Divya Saxena Huafeng Xu 57 10 0 25 Jun 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 100 22 0 24 Jun 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 70 35 0 20 Jun 2022
Generalised Policy Improvement with Geometric Policy Composition S. Thakoor Mark Rowland Diana Borsa Will Dabney Rémi Munos André Barreto OffRL 46 8 0 17 Jun 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL Siyi Hu Chuanlong Xie Xiaodan Liang Xiaojun Chang 56 22 0 01 Jun 2022
A Mixture-of-Expert Approach to RL-based Dialogue Management Yinlam Chow Azamat Tulepbergenov Ofir Nachum Moonkyung Ryu Mohammad Ghavamzadeh Craig Boutilier MoE 70 16 0 31 May 2022
Hierarchies of Reward Machines Daniel Furelos-Blanco Mark Law Anders Jonsson Krysia Broda A. Russo 78 9 0 31 May 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao Zhiming Li Tianpei Yang Hao Zhang Yan Zheng Yi Li Jianye Hao Yang Liu NAI 90 16 0 27 May 2022
Data-driven prediction of Air Traffic Controllers reactions to resolving conflicts Alevizos Bastas G. Vouros 16 6 0 19 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 93 365 0 02 May 2022
Graph Neural Network based Agent in Google Research Football Yizhan Niu Jinglong Liu Yuhao Shi Jiren Zhu GNN 79 2 0 23 Apr 2022
Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning Gheorghe Comanici Amelia Glaese Anita Gergely Daniel Toyama Zafarali Ahmed Tyler Jackson P. Hamel Doina Precup 22 2 0 21 Apr 2022
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics Christos K. Verginis Cevahir Köprülü Sandeep Chinchali Ufuk Topcu 78 11 0 20 Apr 2022
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management Charl Maree C. Omlin 93 1 0 20 Apr 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 93 4 0 12 Apr 2022
DynLight: Realize dynamic phase duration with multi-level traffic signal control Li Zhang Shubin Xie J. Deng 69 0 0 07 Apr 2022
Hierarchical Reinforcement Learning under Mixed Observability Hai V. Nguyen Zhihan Yang Andrea Baisero Xiao Ma Robert Platt Chris Amato 56 4 0 02 Apr 2022
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach Xubo Lyu Amin Banitalebi-Dehkordi Mo Chen Yong Zhang 86 2 0 29 Mar 2022
Learning Sketches for Decomposing Planning Problems into Subproblems of Bounded Width: Extended Version Dominik Drexler Jendrik Seipp Hector Geffner 32 19 0 28 Mar 2022
Possibility Before Utility: Learning And Using Hierarchical Affordances Robby Costales Shariq Iqbal Fei Sha 73 5 0 23 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 92 27 0 22 Mar 2022
One After Another: Learning Incremental Skills for a Changing World Nur Muhammad (Mahi) Shafiullah Lerrel Pinto CLL 76 13 0 21 Mar 2022
Hierarchical Path-planning from Speech Instructions with Spatial Concept-based Topometric Semantic Mapping Akira Taniguchi Shuya Ito T. Taniguchi 92 1 0 21 Mar 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games Yunqiu Xu Meng Fang Ling Chen Yali Du Qiufeng Wang Chengqi Zhang OffRL 59 21 0 20 Mar 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation Bing-Quan Liu Sahisnu Mazumder Eric Robertson Scott Grigsby CLL AI4CE 77 22 0 17 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control Marco Oliva Soubarna Banik Josip Josifovski Alois Knoll 77 5 0 11 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 39 0 0 09 Mar 2022
On Credit Assignment in Hierarchical Reinforcement Learning Joery A. de Vries Thomas M. Moerland Aske Plaat 25 0 0 07 Mar 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu Zhengbang Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao Yong Yu Jun Wang 135 11 0 04 Mar 2022
Hierarchical Reinforcement Learning with AI Planning Models Junkyu Lee Michael Katz Don Joven Agravante Miao Liu Geraud Nangue Tasse Tim Klinger Shirin Sohrabi 58 2 0 01 Mar 2022
A Versatile Agent for Fast Learning from Human Instructors Yiwen Chen Zedong Zhang Hao-Kang Liu Jiayi Tan C. Chew Marcelo H. Ang Jr 31 0 0 01 Mar 2022
Hierarchical Policy Learning for Mechanical Search Oussama Zenkri Ngo Anh Vien Gerhard Neumann 61 3 0 28 Feb 2022
ASC me to Do Anything: Multi-task Training for Embodied AI Jiasen Lu Jordi Salvador Roozbeh Mottaghi Aniruddha Kembhavi 60 3 0 14 Feb 2022
Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning S. Nguyen Nicolas Duminy A. Manoury D. Duhaut Cédric Buche 59 8 0 11 Feb 2022
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning A. Nica Khimya Khetarpal Doina Precup 57 4 0 24 Jan 2022
State-Conditioned Adversarial Subgoal Generation V. Wang Joni Pajarinen Tinghuai Wang Joni-Kristian Kämäräinen 94 12 0 24 Jan 2022
Attention Option-Critic Raviteja Chunduru Doina Precup 68 10 0 07 Jan 2022
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization Liang Zhang Qiang Wu J. Deng 51 8 0 30 Dec 2021
Creativity of AI: Hierarchical Planning Model Learning for Facilitating Deep Reinforcement Learning H. Zhuo Shuting Deng M. Jin Zhihao Ma Kebing Jin Chong Chen Chao Yu 115 1 0 18 Dec 2021
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 68 4 0 16 Dec 2021
How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents Y. Kolumbus N. Nisan 62 22 0 14 Dec 2021