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Encoding formulas as deep networks: Reinforcement learning for zero-shot
  execution of LTL formulas

Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas

1 June 2020
Yen-Ling Kuo
Boris Katz
Andrei Barbu
ArXivPDFHTML

Papers citing "Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas"

15 / 15 papers shown
Title
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu
Arshia Rafieioskouei
Borzoo Bonakdarpour
36
0
0
07 Apr 2025
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Hao Zhang
Hao Wang
Xiucai Huang
Wenrui Chen
Z. Kan
41
0
0
31 Dec 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
Hikaru Shindo
Quentin Delfosse
Devendra Singh Dhami
Kristian Kersting
43
3
0
15 Oct 2024
Generalization of Compositional Tasks with Logical Specification via
  Implicit Planning
Generalization of Compositional Tasks with Logical Specification via Implicit Planning
Duo Xu
Faramarz Fekri
OffRL
25
1
0
13 Oct 2024
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Mathias Jackermeier
Alessandro Abate
OffRL
43
1
0
06 Oct 2024
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
38
0
0
05 Jun 2024
Reward Machines for Deep RL in Noisy and Uncertain Environments
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li
Zizhao Chen
Toryn Q. Klassen
Pashootan Vaezipoor
Rodrigo Toro Icarte
Sheila A. McIlraith
48
6
0
31 May 2024
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Reward-Machine-Guided, Self-Paced Reinforcement Learning
Cevahir Köprülü
Ufuk Topcu
23
3
0
25 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu
Xuejing Zheng
H. Zhuo
OffRL
LRM
55
7
0
24 Apr 2023
Neural Controller Synthesis for Signal Temporal Logic Specifications
  Using Encoder-Decoder Structured Networks
Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks
Wataru Hashimoto
Kazumune Hashimoto
M. Kishida
S. Takai
32
1
0
10 Dec 2022
Generalizing LTL Instructions via Future Dependent Options
Generalizing LTL Instructions via Future Dependent Options
Duo Xu
Faramarz Fekri
OffRL
AI4CE
24
1
0
08 Dec 2022
Learning to Follow Instructions in Text-Based Games
Learning to Follow Instructions in Text-Based Games
Mathieu Tuli
Andrew C. Li
Pashootan Vaezipoor
Toryn Q. Klassen
Scott Sanner
Sheila A. McIlraith
36
13
0
08 Nov 2022
In a Nutshell, the Human Asked for This: Latent Goals for Following
  Temporal Specifications
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
AI4CE
26
15
0
18 Oct 2021
Compositional Reinforcement Learning from Logical Specifications
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan
Suguman Bansal
Osbert Bastani
Rajeev Alur
CoGe
28
77
0
25 Jun 2021
Systematic Generalisation through Task Temporal Logic and Deep
  Reinforcement Learning
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
NAI
AI4CE
31
28
0
12 Jun 2020
1