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Reward Machines for Deep RL in Noisy and Uncertain Environments

31 May 2024

Pashootan Vaezipoor

Papers citing "Reward Machines for Deep RL in Noisy and Uncertain Environments"

44 / 44 papers shown

Title
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL Mathias Jackermeier Alessandro Abate OffRL 153 2 0 06 Oct 2024
LTL-Constrained Policy Optimization with Cycle Experience Replay Ameesh Shah Cameron Voloshin Chenxi Yang Abhinav Verma Swarat Chaudhuri Sanjit A. Seshia 145 1 0 17 Apr 2024
Assessing the Robustness of Intelligence-Driven Reinforcement Learning Lorenzo Nodari Federico Cerutti 64 1 0 15 Nov 2023
Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector Wataru Hatanaka R. Yamashina Takamitsu Matsubara 114 5 0 06 Sep 2023
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks Maxime Chevalier-Boisvert Bolun Dai Mark Towers Rodrigo de Lazcano Lucas Willems Salem Lahlou Suman Pal Pablo Samuel Castro Jordan Terry VGen 126 212 0 24 Jun 2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft Shalev Lifshitz Keiran Paster Harris Chan Jimmy Ba Sheila A. McIlraith LM&Ro 139 76 0 01 Jun 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 134 8 0 24 Apr 2023
Vision-Language Models as Success Detectors Yuqing Du Ksenia Konyushkova Misha Denil A. Raju Jessica Landon Felix Hill Nando de Freitas Serkan Cabi MLLM LRM 130 86 0 13 Mar 2023
Learning to Follow Instructions in Text-Based Games Mathieu Tuli Andrew C. Li Pashootan Vaezipoor Toryn Q. Klassen Scott Sanner Sheila A. McIlraith 79 13 0 08 Nov 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 89 11 0 11 Oct 2022
Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning Haotong Zhang Hao Wang Zheng Kan OffRL 87 12 0 27 Sep 2022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos Bowen Baker Ilge Akkaya Peter Zhokhov Joost Huizinga Jie Tang Adrien Ecoffet Brandon Houghton Raul Sampedro Jeff Clune OffRL 159 304 0 23 Jun 2022
Hierarchies of Reward Machines Daniel Furelos-Blanco Mark Law Anders Jonsson Krysia Broda A. Russo 78 9 0 31 May 2022
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics Christos K. Verginis Cevahir Köprülü Sandeep Chinchali Ufuk Topcu 78 11 0 20 Apr 2022
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning Rodrigo Toro Icarte Ethan Waldie Toryn Q. Klassen Richard Valenzano Margarita P. Castro Sheila A. McIlraith 30 14 0 17 Dec 2021
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines Xuejing Zheng Chao Yu Chong Chen Jianye Hao H. Zhuo CLL OffRL 69 9 0 18 Nov 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 98 16 0 18 Oct 2021
Compositional Reinforcement Learning from Logical Specifications Kishor Jothimurugan Suguman Bansal Osbert Bastani Rajeev Alur CoGe 135 81 0 25 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.1K 30,053 0 26 Feb 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 127 77 0 13 Feb 2021
Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction Mingyu Cai Shaoping Xiao Baoluo Li Zhiliang Li Z. Kan 86 35 0 14 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 145 222 0 06 Oct 2020
A Composable Specification Language for Reinforcement Learning Tasks Kishor Jothimurugan Rajeev Alur Osbert Bastani 85 88 0 21 Aug 2020
Reward Machines for Cooperative Multi-Agent Reinforcement Learning Cyrus Neary Zhe Xu Bo Wu Ufuk Topcu 83 47 0 03 Jul 2020
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks Yuqian Jiang Suda Bharadwaj Bo Wu Rishi Shah Ufuk Topcu Peter Stone CLL OffRL LRM 58 43 0 03 Jul 2020
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples Zhe Xu Bo Wu Aditya Ojha Daniel Neider Ufuk Topcu OffRL 89 30 0 28 Jun 2020
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas Yen-Ling Kuo Boris Katz Andrei Barbu 78 41 0 01 Jun 2020
Learning Non-Markovian Reward Models in MDPs Gavin Rens Jean-François Raskin 44 12 0 25 Jan 2020
Induction of Subgoal Automata for Reinforcement Learning Daniel Furelos-Blanco Mark Law A. Russo Krysia Broda Anders Jonsson 87 33 0 29 Nov 2019
Modular Deep Reinforcement Learning with Temporal Logic Specifications Li-xin Yuan Mohammadhosein Hasanbeig Alessandro Abate Daniel Kroening OffRL 62 41 0 23 Sep 2019
Joint Inference of Reward Machines and Policies for Reinforcement Learning Zhe Xu I. Gavran Yousef Ahmad R. Majumdar Daniel Neider Ufuk Topcu Bo Wu 84 94 0 12 Sep 2019
Transfer of Temporal Logic Formulas in Reinforcement Learning Zhe Xu Ufuk Topcu 69 52 0 10 Sep 2019
Planning With Uncertain Specifications (PUnS) Ankit J. Shah Shen Li J. Shah 81 25 0 07 Jun 2019
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving Maxime Bouton J. Karlsson A. Nakhaei K. Fujimura Mykel J. Kochenderfer Jana Tumova 79 69 0 15 Apr 2019
Using Natural Language for Reward Shaping in Reinforcement Learning Prasoon Goyal S. Niekum Raymond J. Mooney LM&Ro 108 183 0 05 Mar 2019
Logically-Constrained Reinforcement Learning Mohammadhosein Hasanbeig Alessandro Abate Daniel Kroening 95 83 0 24 Jan 2018
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks Xiao Li Yao Ma C. Belta 75 59 0 27 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 690 19,343 0 20 Jul 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh Satinder Singh Honglak Lee Pushmeet Kohli OffRL 164 269 0 15 Jun 2017
Environment-Independent Task Specifications via GLTL Michael L. Littman Ufuk Topcu Jie Fu Charles Isbell Min Wen J. MacGlashan 93 146 0 14 Apr 2017
Reinforcement Learning With Temporal Logic Rewards Xiao Li C. Vasile C. Belta 91 219 0 11 Dec 2016
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 215 463 0 06 Nov 2016
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 134 1,686 0 23 Jul 2015
LTL Control in Uncertain Environments with Probabilistic Satisfaction Guarantees X. Ding Stephen L. Smith C. Belta Daniela Rus 94 90 0 06 Apr 2011