Towards Deep Symbolic Reinforcement Learning

18 September 2016

Papers citing "Towards Deep Symbolic Reinforcement Learning"

24 / 24 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 36 3 0 26 May 2024
Which Experiences Are Influential for Your Agent? Policy Iteration with Turn-over Dropout Takuya Hiraoka Takashi Onishi Yoshimasa Tsuruoka OffRL 19 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 53 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 25 1 0 14 Dec 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 22 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 22 28 0 10 Feb 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 11 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 22 29 0 08 Mar 2021
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 24 54 0 08 Oct 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata D. Fox 139 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 11 6,106 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 14 17 0 22 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 11 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 13 47 0 20 Mar 2019
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 54 3,076 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 13 7 0 01 Jun 2018
Interactive Grounded Language Acquisition and Generalization in a 2D World Haonan Yu Haichao Zhang W. Xu LLMAG LM&Ro 8 77 0 31 Jan 2018
Using Program Induction to Interpret Transition System Dynamics Svetlin Penkov S. Ramamoorthy AI4CE 17 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 11 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 21 230 0 14 Jun 2017
SLDR-DL: A Framework for SLD-Resolution with Deep Learning Cheng-Hao Cai 16 2 0 05 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 78 1,502 0 25 Jan 2017