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A Boolean Task Algebra for Reinforcement Learning

Neural Information Processing Systems (NeurIPS), 2020

6 January 2020

Geraud Nangue Tasse

Steven D. James

Benjamin Rosman

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Papers citing "A Boolean Task Algebra for Reinforcement Learning"

44 / 44 papers shown

Title
Automaton Constrained Q-Learning Anastasios Manganaris Vittorio Giammarino A. H. Qureshi 99 0 0 06 Oct 2025
One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning Zijian Guo İlker Işık Hijaz Ahmad Wenchao Li OffRL AI4CE 275 2 0 03 Aug 2025
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data Andrew C. Li Toryn Q. Klassen Andrew Wang P. A. Alamdari Sheila A. McIlraith LM&Ro 198 1 0 14 Jul 2025
Compositional Instruction Following with Language Models and Reinforcement Learning Vanya Cohen Geraud Nangue Tasse N. Gopalan Steven D. James Matthew C. Gombolay Ray Mooney Benjamin Rosman 198 0 0 21 Jan 2025
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement LearningEuropean Conference on Artificial Intelligence (ECAI), 2024 Georgios Bakirtzis M. Savvas Ruihan Zhao Sandeep Chinchali Ufuk Topcu 184 2 0 23 Aug 2024
Temporal Logic Planning via Zero-Shot Policy Composition Taylor Bergeron Zachary Serlin Kevin J. Leahy OffRL 94 0 0 08 Aug 2024
Planning with a Learned Policy Basis to Optimally Solve Complex TasksInternational Conference on Automated Planning and Scheduling (ICAPS), 2024 Guillermo Infante David Kuric Anders Jonsson Vicencc Gómez H. V. Hoof OffRL 148 3 0 22 Mar 2024
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques Yu Xiong Zhipeng Hu Ye Huang Runze Wu Kai Guan ... Tianze Zhou Yujing Hu Haoyu Liu Tangjie Lyu Changjie Fan OffRL 284 2 0 20 Feb 2024
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Yi-Fan Yao Zuxin Liu Zhepeng Cen Jiacheng Zhu Wenhao Yu Tingnan Zhang Ding Zhao OffRL 192 17 0 05 Oct 2023
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian RewardsNeural Information Processing Systems (NeurIPS), 2023 Silviu Pitis 157 8 0 30 Sep 2023
Diversifying AI: Towards Creative Chess with AlphaZero Tom Zahavy Vivek Veeriah Shaobo Hou Kevin Waugh Matthew Lai Edouard Leurent Nenad Tomašev Lisa Schut Demis Hassabis Satinder Singh 211 20 0 17 Aug 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 234 8 0 13 Jul 2023
Safety-Aware Task Composition for Discrete and Continuous Reinforcement Learning Kevin J. Leahy Makai Mann Zachary Serlin CoGe OffRL 90 0 0 29 Jun 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 305 10 0 24 Apr 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent CompositionEuropean Control Conference (ECC), 2023 Y. Liu Aamir Ahmad 198 5 0 24 Mar 2023
Bounding the Optimal Value Function in Compositional Reinforcement LearningConference on Uncertainty in Artificial Intelligence (UAI), 2023 Jacob Adamczyk Volodymyr Makarenko A. Arriojas Stas Tiomkin R. Kulkarni OffRL 133 4 0 05 Mar 2023
Leveraging Prior Knowledge in Reinforcement Learning via Double-Sided Bounds on the Value Function Jacob Adamczyk Stas Tiomkin R. Kulkarni OffRL 89 0 0 19 Feb 2023
Hierarchically Composing Level Generators for the Creation of Complex StructuresIEEE Transactions on Games (IEEE Trans. Games), 2023 Michael Beukman Manuel A. Fokam Marcel Kruger Guy Axelrod Muhammad Umair Nasir Branden Ingram Benjamin Rosman Steven D. James 207 9 0 03 Feb 2023
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Jacob Adamczyk A. Arriojas Stas Tiomkin R. Kulkarni 155 12 0 02 Dec 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Weilong Dai XAI 384 1 0 12 Nov 2022
Safety-Constrained Policy Transfer with Successor FeaturesIEEE International Conference on Robotics and Automation (ICRA), 2022 Zeyu Feng Bowen Zhang Jianxin Bi Harold Soh 165 7 0 10 Nov 2022
MoCoDA: Model-based Counterfactual Data AugmentationNeural Information Processing Systems (NeurIPS), 2022 Silviu Pitis Elliot Creager Ajay Mandlekar Animesh Garg OffRL 170 49 0 20 Oct 2022
Categorical semantics of compositional reinforcement learning Georgios Bakirtzis M. Savvas Ufuk Topcu CoGe 239 5 0 29 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 225 35 0 15 Jul 2022
CompoSuite: A Compositional Reinforcement Learning Benchmark Jorge Armando Mendez Mendez Marcel Hussing Meghna Gummadi Eric Eaton CoGe OffRL 146 15 0 08 Jul 2022
Modular Lifelong Reinforcement Learning via Neural CompositionInternational Conference on Learning Representations (ICLR), 2022 Jorge Armando Mendez Mendez H. V. Seijen Eric Eaton OffRL KELM CLL 235 48 0 01 Jul 2022
World Value Functions: Knowledge Representation for Learning and Planning Geraud Nangue Tasse Benjamin Rosman Steven D. James 79 3 0 23 Jun 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy TransferInternational Conference on Machine Learning (ICML), 2022 L. N. Alegre A. Bazzan Bruno C. da Silva 130 31 0 22 Jun 2022
Hierarchies of Reward MachinesInternational Conference on Machine Learning (ICML), 2022 Daniel Furelos-Blanco Mark Law Anders Jonsson Krysia Broda A. Russo 123 11 0 31 May 2022
Skill Machines: Temporal Logic Skill Composition in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022 Geraud Nangue Tasse Devon Jarvis Steven D. James Benjamin Rosman 166 7 0 25 May 2022
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity ManagementDigital Finance (DF), 2022 Charl Maree C. Omlin 215 1 0 20 Apr 2022
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?Applied Informatics (AI), 2022 Charl Maree C. Omlin AIFin 184 7 0 18 Feb 2022
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning Ziyang Tang Yihao Feng Qiang Liu OffRL 161 1 0 01 Jan 2022
Constructing a Good Behavior Basis for Transfer using Generalized Policy UpdatesInternational Conference on Learning Representations (ICLR), 2021 Safa Alver Doina Precup OffRL 243 17 0 30 Dec 2021
A Survey on Interpretable Reinforcement LearningMachine-mediated learning (ML), 2021 Claire Glanois Paul Weng Matthieu Zimmer Dong Li Zhenxing Ge Jianye Hao Wulong Liu OffRL 222 139 0 24 Dec 2021
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines Xuejing Zheng Chao Yu Chong Chen Jianye Hao H. Zhuo CLL OffRL 123 10 0 18 Nov 2021
On the Expressivity of Markov RewardNeural Information Processing Systems (NeurIPS), 2021 David Abel Will Dabney Anna Harutyunyan Mark K. Ho Michael L. Littman Doina Precup Satinder Singh 220 95 0 01 Nov 2021
Learning to Follow Language Instructions with Compositional Policies Vanya Cohen Geraud Nangue Tasse N. Gopalan Steven D. James Matthew C. Gombolay Benjamin Rosman 105 5 0 09 Oct 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 288 214 0 27 Jul 2021
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision ProcessesAAAI Conference on Artificial Intelligence (AAAI), 2021 Guillermo Infante Anders Jonsson Vicencc Gómez 86 8 0 29 Jun 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Julen Urain Anqi Li Puze Liu Carlo DÉramo Jan Peters 174 30 0 11 May 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short SurveyJournal of Artificial Intelligence Research (JAIR), 2020 Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 712 117 0 17 Dec 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 697 311 0 15 Aug 2020
Goal Kernel Planning: Linearly-Solvable Non-Markovian Policies for Logical Tasks with Goal-Conditioned Options Thomas J. Ringstrom Mohammadhosein Hasanbeig Alessandro Abate 196 3 0 06 Jul 2020