Towards Deep Symbolic Reinforcement Learning

18 September 2016

Papers citing "Towards Deep Symbolic Reinforcement Learning"

37 / 37 papers shown

Title
Synthesizing Evolving Symbolic Representations for Autonomous Systems Gabriele Sartor A. Oddi R. Rasconi V. Santucci Rosa Meo 21 0 0 18 Sep 2024
RLSF: Reinforcement Learning via Symbolic Feedback Piyush Jha Prithwish Jana Arnav Arora Vijay Ganesh LRM 49 3 0 26 May 2024
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 30 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 21 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 58 9 0 30 Dec 2022
ExReg: Wide-range Photo Exposure Correction via a Multi-dimensional Regressor with Attention Tzu-Hao Chiang Hao-Chien Hsueh Ching-Chun Hsiao Ching-Chun Huang 27 1 0 14 Dec 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 29 44 0 17 Mar 2022
Online Learning of Reusable Abstract Models for Object Goal Navigation Tommaso Campari Leonardo Lamanna P. Traverso Luciano Serafini Lamberto Ballan EgoV 15 19 0 04 Mar 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 27 28 0 10 Feb 2022
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization Yihan Li Jinsheng Ren Tianrun Xu Tianren Zhang Haichuan Gao Feng Chen 16 1 0 26 Jan 2022
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 24 43 0 27 Jul 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments Antonia Creswell Rishabh Kabra Christopher P. Burgess Murray Shanahan OCL 30 29 0 08 Mar 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases M. V. Bekkum M. D. Boer F. V. Harmelen André Meyer-Vitali A. T. Teije 20 68 0 23 Feb 2021
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 65 292 0 10 Dec 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 30 13 0 13 Nov 2020
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines K. Murugesan Mattia Atzeni Pavan Kapanipathi Pushkar Shukla Sadhana Kumaravel Gerald Tesauro Kartik Talamadupula Mrinmaya Sachan Murray Campbell LM&Ro LLMAG OffRL 32 54 0 08 Oct 2020
Analyzing Differentiable Fuzzy Implications Emile van Krieken Erman Acar F. V. Harmelen AI4CE 20 29 0 04 Jun 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata D. Fox 147 45 0 08 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,110 0 22 Oct 2019
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 19 17 0 22 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Prospection: Interpretable Plans From Language By Predicting the Future Chris Paxton Yonatan Bisk Jesse Thomason Arunkumar Byravan D. Fox LM&Ro 18 47 0 20 Mar 2019
Learning Features and Abstract Actions for Computing Generalized Plans Blai Bonet Guillem Francès Hector Geffner 14 59 0 17 Nov 2018
Measuring abstract reasoning in neural networks David Barrett Felix Hill Adam Santoro Ari S. Morcos Timothy Lillicrap OOD 14 355 0 11 Jul 2018
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 24 218 0 05 Jun 2018
Human-like generalization in a machine through predicate learning L. Doumas Guillermo Puebla Andrea E. Martin NAI 20 9 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 97 3,080 0 04 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 21 7 0 01 Jun 2018
Compositional Attention Networks for Machine Reasoning Drew A. Hudson Christopher D. Manning BDL OOD LRM 21 572 0 08 Mar 2018
Interactive Grounded Language Acquisition and Generalization in a 2D World Haonan Yu Haichao Zhang Wenyuan Xu LLMAG LM&Ro 14 77 0 31 Jan 2018
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 35 2,774 0 19 Aug 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 29 409 0 26 Jul 2017
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 25 11 0 26 Jul 2017
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 13 51 0 11 Jul 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 37 230 0 14 Jun 2017
SLDR-DL: A Framework for SLD-Resolution with Deep Learning Cheng-Hao Cai 21 2 0 05 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017