PRL 2023 IJCAI Submissions

Learning Neuro-Symbolic World Models with Logical Neural Networks
Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori
- Published: 09 Jun 2023, Last Modified: 18 Aug 2023
- PRL
- Readers: Everyone
Learning to Create Abstraction Hierarchies for Motion Planning under Uncertainty
Naman Shah, Siddharth Srivastava
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Towards More Likely Models for AI Planning
Turgay Caglar, Sirine Belhaj, Tathagata Chakraborti, Michael Katz, Sarath Sreedharan
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Learn to Follow: Lifelong Multi-agent Pathfinding with Decentralized Replanning
Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin Yakovlev, Aleksandr Panov
- Published: 09 Jun 2023, Last Modified: 18 Aug 2023
- PRL
- Readers: Everyone
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
Sarath Sreedharan, Michael Katz
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Learning State Reachability as a Graph in Translation Invariant Goal-based Reinforcement Learning Tasks
Hedwin BONNAVAUD, Alexandre Albore, Emmanuel Rachelson
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Object-Centric Learning of Neural Policies for Zero-shot Transfer over Domains with Varying Quantities of Interest
Vishal Sharma, Aniket Gupta, Prayushi Faldu, Rushil Gupta, Mausam ., Parag Singla
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs
Vishal Sharma, Daman Arora, Mausam ., Parag Singla
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Learning to Plan with Tree Search via Deep RL
Dylan Cope, Justin Svegliato, Stuart Russell
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Task Scoping: Generating Task-Specific Simplifications of Open-Scope Planning Problems
Michael Fishman, Nishanth Kumar, Cameron Allen, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris
- Published: 09 Jun 2023, Last Modified: 24 Aug 2023
- PRL
- Readers: Everyone
Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models
Daman Arora, Subbarao Kambhampati
- Published: 09 Jun 2023, Last Modified: 18 Aug 2023
- PRL 2023 IJCAI Withdrawn Submission
- Readers: Everyone
Learning Parameterized Policies for Planning Annotated RL
Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran, Mohamad Hosein Danesh, Stefano V Albrecht, Sarah Keren
- Published: 09 Jun 2023, Last Modified: 19 Aug 2023
- PRL 2023 IJCAI Withdrawn Submission
- Readers: Everyone
Using Reverse Reinforcement Learning for Assembly Tasks
Niklas Widulle, Oliver Niggemann
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
A Learnable Similarity Metric for Transfer Learning with Dynamics Mismatch
Ram Ananth Sreenivasan, Hyun-Rok Lee, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee
- Published: 09 Jun 2023, Last Modified: 17 Aug 2023
- PRL
- Readers: Everyone
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning
Chuming Li, Ruonan Jia, Jiawei Yao, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
- Published: 09 Jun 2023, Last Modified: 02 Nov 2023
- PRL
- Readers: Everyone