NeurIPS 2023 Workshop GenPlan Submissions

Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Learning Discrete World Models for Classical Planning Problems
Forest Agostinelli, Misagh Soltani
- Published: 28 Oct 2023, Last Modified: 18 Dec 2023
- GenPlan'23
- Readers: Everyone
A Theoretical Explanation of Deep RL Performance in Stochastic Environments
Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca Dragan
- Published: 28 Oct 2023, Last Modified: 08 Dec 2023
- GenPlan'23
- Readers: Everyone
Inverse Reinforcement Learning with Multiple Planning Horizons
Jiayu Yao, Finale Doshi-Velez, Barbara Engelhardt
- Published: 28 Oct 2023, Last Modified: 06 Dec 2023
- GenPlan'23
- Readers: Everyone
Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels
Thomas Jiralerspong, Flemming Kondrup, Doina Precup, Khimya Khetarpal
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
Benedict Quartey, Ankit Shah, George Konidaris
- Published: 28 Oct 2023, Last Modified: 11 Dec 2023
- GenPlan'23
- Readers: Everyone
POMRL: No-Regret Learning-to-Plan with Increasing Horizons
Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Contrastive Representations Make Planning Easy
Benjamin Eysenbach, Vivek Myers, Sergey Levine, Ruslan Salakhutdinov
- Published: 28 Oct 2023, Last Modified: 08 Dec 2023
- GenPlan'23
- Readers: Everyone
Uncertainty-Aware Action Repeating Options
Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan Oh
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Learning Abstract World Models for Value-preserving Planning with Options
Rafael Rodriguez-Sanchez, George Konidaris
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Relating Goal and Environmental Complexity for Improved Task Transfer: Initial Results
Sunandita Patra, Paul Rademacher, Kristen Jacobson, Kyle Hassold, Onur Kulaksizoglu, Laura Hiatt, Mark Roberts, Dana Nau
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- GenPlan'23
- Readers: Everyone
Robust Driving Across Scenarios via Multi-residual Task Learning
Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
- Published: 28 Oct 2023, Last Modified: 09 Dec 2023
- GenPlan'23
- Readers: Everyone
Contrastive Abstraction for Reinforcement Learning
Vihang Patil, Markus Hofmarcher, Elisabeth Rumetshofer, Sepp Hochreiter
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Towards More Likely Models for AI Planning
Turgay Caglar, Sirine Belhaj, Tathagata Chakraborti, Michael Katz, Sarath Sreedharan
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models
Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya, Homer Walke, Chelsea Finn, Aviral Kumar, Sergey Levine
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Explore to Generalize in Zero-Shot RL
Ev Zisselman, Itai Lavie, Daniel Soudry, Aviv Tamar
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
- Published: 28 Oct 2023, Last Modified: 15 Dec 2023
- GenPlan'23
- Readers: Everyone
Leveraging Behavioral Cloning for Representation Alignment in Cross-Domain Policy Transfer
Hayato Watahiki, Ryo Iwase, Ryosuke Unno, Yoshimasa Tsuruoka
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun, Tian-Li Yu
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines
Yu-An Lin, Chen-Tao Lee, Guan-Ting Liu, Pu-Jen Cheng, Shao-Hua Sun
- Published: 28 Oct 2023, Last Modified: 08 Dec 2023
- GenPlan'23
- Readers: Everyone
Value Iteration with Value of Information Networks
Samantha Johnson, Michael Buice, Koosha Khalvati
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone
Learning Generalizable Symbolic Options for Transfer in Reinforcement Learning
Rashmeet Kaur Nayyar, Shivanshu Verma, Siddharth Srivastava
- Published: 28 Oct 2023, Last Modified: 13 Dec 2023
- GenPlan'23
- Readers: Everyone
Learning Interactive Real-World Simulators
Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel
- Published: 28 Oct 2023, Last Modified: 09 Dec 2023
- GenPlan'23
- Readers: Everyone
Towards General-Purpose In-Context Learning Agents
Louis Kirsch, James Harrison, C. Freeman, Jascha Sohl-Dickstein, Jürgen Schmidhuber
- Published: 28 Oct 2023, Last Modified: 08 Dec 2023
- GenPlan'23
- Readers: Everyone
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
- Published: 28 Oct 2023, Last Modified: 04 Dec 2023
- GenPlan'23
- Readers: Everyone