SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning

31 October 2018

Papers citing "SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning"

27 / 27 papers shown

Title
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 53 0 0 24 Feb 2025
Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications Wataru Hatanaka R. Yamashina Takamitsu Matsubara 110 0 0 31 Jan 2025
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse Devendra Singh Dhami Kristian Kersting 45 3 0 15 Oct 2024
Neural-Logic Human-Object Interaction Detection Liulei Li Jianan Wei Wenguan Wang Yi Yang 48 16 0 16 Nov 2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo Chong Chen Kai Zhang Chao Yu Jianye Hao 43 1 0 14 Jun 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 35 3 0 30 Apr 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 55 7 0 24 Apr 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 39 3 0 20 Apr 2023
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 29 0 0 26 Jan 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 63 9 0 30 Dec 2022
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion Utkarsh Soni Nupur Thakur S. Sreedharan L. Guan Mudit Verma Matthew Marquez Subbarao Kambhampati 44 6 0 27 Oct 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 37 59 0 21 Jun 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 11 0 0 09 Mar 2022
SemRob: Towards Semantic Stream Reasoning for Robotic Operating Systems M. Duc Anh Le-Tuan M. Hauswirth David Bowden Danh Le-Phuoc 26 1 0 27 Jan 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 25 0 0 21 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for Explainable AI Zheng Zhang Liangliang Xu L. Yilmaz Bo Liu 36 7 0 31 Dec 2021
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning Yantian Zha L. Guan Subbarao Kambhampati 31 5 0 11 Oct 2021
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming Duo Xu Faramarz Fekri 24 10 0 21 Jun 2021
Neuro-Symbolic Artificial Intelligence: Current Trends Md Kamruzzaman Sarker Lu Zhou Aaron Eberhart Pascal Hitzler NAI 27 87 0 11 May 2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning Zhihao Ma Yuzheng Zhuang Paul Weng Hankui Zhuo Dong Li Wulong Liu Jianye Hao NAI 51 14 0 15 Mar 2021
Counterfactual Data Augmentation using Locally Factored Dynamics Silviu Pitis Elliot Creager Animesh Garg BDL OffRL 26 87 0 06 Jul 2020
iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots Shiqi Zhang Piyush Khandelwal Peter Stone LRM 31 2 0 18 Apr 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata Dieter Fox 147 45 0 08 Mar 2020
Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning Haodi Zhang Zihang Gao Yi Zhou Haotong Zhang Kaishun Wu Fangzhen Lin AI4CE 27 17 0 22 Oct 2019
Knowledge-Based Sequential Decision-Making Under Uncertainty Daoming Lyu 27 4 0 16 May 2019
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty S. Amiri Mohammad Shokrolah Shirazi Shiqi Zhang LRM 35 23 0 16 Jan 2019
Incremental learning abstract discrete planning domains and mappings to continuous perceptions Luciano Serafini P. Traverso CLL 31 2 0 16 Oct 2018