v1v2 (latest)

A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making

20 April 2023

Carlos Núnez-Molina

Pablo Mesejo

Juan Fernández-Olivares

ArXiv (abs)PDF HTML

Papers citing "A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making"

50 / 67 papers shown

Title
Learning to Select Goals in Automated Planning with Deep-Q Learning Carlos Núnez-Molina Juan Fernández-Olivares Raúl Pérez 64 10 0 20 Jun 2024
Neurosymbolic Reinforcement Learning and Planning: A Survey Kamal Acharya Waleed Raza Carlos Dourado Alvaro Velasquez Houbing Song NAI OffRL 77 17 0 02 Sep 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 113 8 0 24 Apr 2023
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 41 4 0 24 Jan 2023
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications Tom Hickling Abdelhafid Zenati Nabil Aouf P. Spencer XAI AI4TS 68 24 0 05 Jul 2022
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators Clement Gehring Masataro Asai Rohan Chitnis Tom Silver L. Kaelbling Shirin Sohrabi Michael Katz OffRL 84 38 0 30 Sep 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 70 37 0 17 Jul 2021
Classical Planning in Deep Latent Space Masataro Asai Hiroshi Kajino A. Fukunaga Christian Muise VLM 56 19 0 30 Jun 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 82 360 0 18 Feb 2021
The Value Equivalence Principle for Model-Based Reinforcement Learning Christopher Grimm André Barreto Satinder Singh David Silver OffRL 49 85 0 06 Nov 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 65 49 0 30 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 85 9 0 26 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 877 42,379 0 28 May 2020
Reinforcement Learning in Economics and Finance Arthur Charpentier Romuald Elie Carl Remlinger OffRL 84 154 0 22 Mar 2020
The Emerging Landscape of Explainable AI Planning and Decision Making Tathagata Chakraborti S. Sreedharan S. Kambhampati 75 114 0 26 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 510 10,591 0 17 Feb 2020
Learning Domain-Independent Planning Heuristics with Hypergraph Networks William Shen Felipe W. Trevizan Sylvie Thiébaux 65 83 0 29 Nov 2019
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 96 285 0 27 Nov 2019
Landmark-Based Approaches for Goal Recognition as Planning Ramon Fraga Pereira Nir Oren Felipe Meneguzzi 30 52 0 26 Apr 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 134 250 0 26 Apr 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 140 867 0 01 Mar 2019
An investigation of model-free planning A. Guez M. Berk Mirza Karol Gregor Rishabh Kabra S. Racanière ... Laurent Orseau Tom Eccles Greg Wayne David Silver Timothy Lillicrap OffRL 78 116 0 11 Jan 2019
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning Kavosh Asadi Evan Cater Dipendra Kumar Misra Michael L. Littman OffRL 77 13 0 31 Oct 2018
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning Daoming Lyu Fangkai Yang Bo Liu Steven M. Gustafson OffRL 86 152 0 31 Oct 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 71 88 0 04 Jul 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 90 610 0 18 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 769 3,129 0 04 Jun 2018
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making Fangkai Yang Daoming Lyu Bo Liu Steven M. Gustafson OffRL 47 136 0 20 Apr 2018
Learning to Search with MCTSnets A. Guez T. Weber Ioannis Antonoglou Karen Simonyan Oriol Vinyals Daan Wierstra Rémi Munos David Silver 75 88 0 13 Feb 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 134 1,042 0 02 Jan 2018
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation Tarek R. Besold Artur Garcez Sebastian Bader Howard L. Bowman Pedro M. Domingos ... P. Lima L. Penning Gadi Pinkas Hoifung Poon Gerson Zaverucha LRM AI4CE 76 347 0 10 Nov 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 78 71 0 31 Oct 2017
Action Schema Networks: Generalised Policies with Deep Learning Sam Toyer Felipe W. Trevizan Sylvie Thiébaux Lexing Xie GNN 56 78 0 13 Sep 2017
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning Sébastien Forestier Rémy Portelas Yoan Mollard Pierre-Yves Oudeyer 89 189 0 07 Aug 2017
Learning model-based planning from scratch Razvan Pascanu Yujia Li Oriol Vinyals N. Heess Lars Buesing S. Racanière David P. Reichert T. Weber Daan Wierstra Peter W. Battaglia LM&Ro 101 98 0 19 Jul 2017
Value Prediction Network Junhyuk Oh Satinder Singh Honglak Lee 79 333 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 88 235 0 14 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 786 132,363 0 12 Jun 2017
Recurrent Environment Simulators Silvia Chiappa S. Racanière Daan Wierstra S. Mohamed 75 211 0 07 Apr 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning Marlos C. Machado Marc G. Bellemare Michael Bowling 91 263 0 02 Mar 2017
Generative Temporal Models with Memory Mevlana Gemici Chia-Chun Hung Adam Santoro Greg Wayne S. Mohamed Danilo Jimenez Rezende David Amos Timothy Lillicrap 47 57 0 15 Feb 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 74 291 0 28 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 386 441 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 545 1,412 0 01 Dec 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning Misha Denil Pulkit Agrawal Tejas D. Kulkarni Tom Erez Peter W. Battaglia Nando de Freitas AI4CE 95 334 0 06 Nov 2016
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 95 226 0 18 Sep 2016
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks Stefan Depeweg José Miguel Hernández-Lobato Finale Doshi-Velez Steffen Udluft BDL 70 160 0 23 May 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 94 1,013 0 02 Mar 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 79 654 0 09 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 207 8,879 0 04 Feb 2016