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LTL2Action: Generalizing LTL Instructions for Multi-Task RL

LTL2Action: Generalizing LTL Instructions for Multi-Task RL

13 February 2021
Pashootan Vaezipoor
Andrew C. Li
Rodrigo Toro Icarte
Sheila A. McIlraith
    OffRL
    AI4CE
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Papers citing "LTL2Action: Generalizing LTL Instructions for Multi-Task RL"

20 / 20 papers shown
Title
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
36
0
0
31 Dec 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
S. Seshia
AI4CE
47
5
0
31 Oct 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
D. Dhami
Kristian Kersting
41
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
23
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
34
1
0
06 Oct 2024
Scalable Signal Temporal Logic Guided Reinforcement Learning via Value
  Function Space Optimization
Scalable Signal Temporal Logic Guided Reinforcement Learning via Value Function Space Optimization
Yiting He
Peiran Liu
Yiding Ji
OffRL
34
0
0
04 Aug 2024
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
31
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
46
6
0
31 May 2024
LTL-Constrained Policy Optimization with Cycle Experience Replay
LTL-Constrained Policy Optimization with Cycle Experience Replay
Ameesh Shah
Cameron Voloshin
Chenxi Yang
Abhinav Verma
Swarat Chaudhuri
S. Seshia
29
1
0
17 Apr 2024
Contextual Pre-planning on Reward Machine Abstractions for Enhanced
  Transfer in Deep Reinforcement Learning
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran
Mohamad H. Danesh
Stefano V. Albrecht
Sarah Keren
AI4CE
29
1
0
11 Jul 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
27
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
28
13
0
08 Nov 2022
Categorical semantics of compositional reinforcement learning
Categorical semantics of compositional reinforcement learning
Georgios Bakirtzis
M. Savvas
Ufuk Topcu
CoGe
38
4
0
29 Aug 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
Goal-Conditioned Q-Learning as Knowledge Distillation
Alexander Levine
S. Feizi
OffRL
17
2
0
28 Aug 2022
Overcoming Exploration: Deep Reinforcement Learning for Continuous
  Control in Cluttered Environments from Temporal Logic Specifications
Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications
Mingyu Cai
Erfan Aasi
C. Belta
C. Vasile
25
24
0
28 Jan 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
18
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
Reward Machines: Exploiting Reward Function Structure in Reinforcement
  Learning
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte
Toryn Q. Klassen
Richard Valenzano
Sheila A. McIlraith
OffRL
20
215
0
06 Oct 2020
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