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2012.13037
Cited By
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
24 December 2020
Vasanth Sarathy
Daniel Kasenberg
Shivam Goel
Jivko Sinapov
matthias. scheutz
OffRL
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Papers citing
"SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning"
19 / 19 papers shown
SLAP: Shortcut Learning for Abstract Planning
Yaoyao Liu
Bowen Li
Benjamin Eysenbach
Tom Silver
OffRL
125
1
0
02 Nov 2025
Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
Pierrick Lorang
Hong Lu
Johannes Huemer
Patrik Zips
Matthias Scheutz
156
0
0
29 Aug 2025
Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation
IEEE International Conference on Robotics and Automation (ICRA), 2025
Pierrick Lorang
Hong Lu
Matthias Scheutz
229
1
0
06 Mar 2025
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds
Shivam Goel
Yichen Wei
Panagiotis Lymperopoulos
matthias. scheutz
Jivko Sinapov
GNN
357
3
0
07 Jan 2024
Verifiable Reinforcement Learning Systems via Compositionality
Cyrus Neary
Aryaman Singh Samyal
Christos K. Verginis
Murat Cubuktepe
Ufuk Topcu
OffRL
CoGe
72
3
0
09 Sep 2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Tung Thai
Mingyu Shen
M. Garg
Ayush Kalani
Nakul Vaidya
...
Neeraj Varshney
Chitta Baral
Subbarao Kambhampati
Jivko Sinapov
matthias. scheutz
222
0
0
28 Feb 2023
Neuro-Symbolic World Models for Adapting to Open World Novelty
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Jonathan C. Balloch
Zhiyu Lin
Robert Wright
Xiangyu Peng
Mustafa Hussain
Aarun Srinivas
Julia Kim
Mark O. Riedl
237
11
0
16 Jan 2023
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks
Matthias Mayr
Faseeh Ahmad
Konstantinos Chatzilygeroudis
Luigi Nardi
Volker Krueger
129
11
0
07 Dec 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
IEEE Robotics and Automation Letters (RA-L), 2022
Shuo Cheng
Danfei Xu
337
54
0
23 Oct 2022
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
International Conference on Development and Learning (ICDL), 2022
Shivam Goel
Yash Shukla
Vasanth Sarathy
matthias. scheutz
Jivko Sinapov
246
18
0
24 Jun 2022
Learning Neuro-Symbolic Skills for Bilevel Planning
Conference on Robot Learning (CoRL), 2022
Tom Silver
Ashay Athalye
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
276
83
0
21 Jun 2022
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery
Yidong Du
Wenshuo Wang
Zhigang Wang
Hua Yang
Haitao Wang
Yinghao Cai
Ming Chen
198
3
0
07 Jun 2022
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
Journal of Artificial Intelligence Research (JAIR), 2022
Evana Gizzi
Lakshmi Nair
Sonia Chernova
Jivko Sinapov
AI4CE
228
18
0
21 Apr 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2022
Matthias Mayr
Faseeh Ahmad
Konstantinos Chatzilygeroudis
Luigi Nardi
Volker Krueger
197
32
0
18 Mar 2022
Creativity of AI: Hierarchical Planning Model Learning for Facilitating Deep Reinforcement Learning
H. Zhuo
Shuting Deng
M. Jin
Zhihao Ma
Kebing Jin
Chong Chen
Chao Yu
335
1
0
18 Dec 2021
Verifiable and Compositional Reinforcement Learning Systems
International Conference on Automated Planning and Scheduling (ICAPS), 2021
Cyrus Neary
Christos K. Verginis
Murat Cubuktepe
Ufuk Topcu
CoGe
OffRL
216
23
0
07 Jun 2021
Controller Synthesis for Omega-Regular and Steady-State Specifications
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Alvaro Velasquez
Ismail Alkhouri
Andre Beckus
Ashutosh Trivedi
George Atia
92
3
0
05 Jun 2021
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Rohan Chitnis
Tom Silver
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
290
67
0
28 May 2021
Learning Symbolic Operators for Task and Motion Planning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Tom Silver
Rohan Chitnis
J. Tenenbaum
L. Kaelbling
Tomas Lozano-Perez
376
100
0
28 Feb 2021
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