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A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies

7 April 2022

Faramarz Fekri

Papers citing "A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies"

24 / 24 papers shown

Title
Scalable Rule-Based Representation Learning for Interpretable Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 72 62 0 30 Sep 2021
Reactive Task and Motion Planning under Temporal Logic Specifications Shen Li Daehyung Park Yoonchang Sung J. Shah Nicholas Roy 61 43 0 26 Mar 2021
Learning Symbolic Operators for Task and Motion Planning Tom Silver Rohan Chitnis J. Tenenbaum L. Kaelbling Tomas Lozano-Perez 97 83 0 28 Feb 2021
The Logical Options Framework Brandon Araki Xiao Li Kiran Vodrahalli Jonathan A. DeCastro Micah J. Fry Daniela Rus OffRL 73 31 0 24 Feb 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 94 77 0 13 Feb 2021
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 108 222 0 06 Oct 2020
A Composable Specification Language for Reinforcement Learning Tasks Kishor Jothimurugan Rajeev Alur Osbert Bastani 73 87 0 21 Aug 2020
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning Borja G. Leon Murray Shanahan Francesco Belardinelli NAI AI4CE 60 29 0 12 Jun 2020
Transfer of Temporal Logic Formulas in Reinforcement Learning Zhe Xu Ufuk Topcu 57 52 0 10 Sep 2019
A Survey of Reinforcement Learning Informed by Natural Language Jelena Luketina Nantas Nardelli Gregory Farquhar Jakob N. Foerster Jacob Andreas Edward Grefenstette Shimon Whiteson Tim Rocktaschel LM&Ro KELM OffRL LRM 80 282 0 10 Jun 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving Manfred Eppe Phuong D. H. Nguyen S. Wermter 54 42 0 23 May 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 132 250 0 26 Apr 2019
Learning Algorithms via Neural Logic Networks Ali Payani Faramarz Fekri NAI 45 29 0 02 Apr 2019
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 84 543 0 12 Jul 2018
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 119 483 0 13 Nov 2017
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks Xiao Li Yao Ma C. Belta 56 59 0 27 Sep 2017
End-to-End Differentiable Proving Tim Rocktaschel Sebastian Riedel NAI 99 381 0 31 May 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 107 515 0 17 May 2017
Environment-Independent Task Specifications via GLTL Michael L. Littman Ufuk Topcu Jie Fu Charles Isbell Min Wen J. MacGlashan 63 146 0 14 Apr 2017
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 145 462 0 06 Nov 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,641 0 22 Sep 2015
Sampling-Based Temporal Logic Path Planning C. Vasile C. Belta LRM 67 105 0 27 Jul 2013
Learning Symbolic Models of Stochastic Domains L. Kaelbling H. Pasula L. S. Zettlemoyer 111 241 0 10 Oct 2011
PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains M. Fox D. Long 82 2,176 0 22 Jun 2011