NeurIPS 2022 Workshop FMDM Submissions

Revealing the Bias in Large Language Models via Reward Structured Questions
Ezgi Korkmaz
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Intelligent Variable Selection for Branch & Bound Methods
Priya Shanmugasundaram, Saurabh Jha, Sailendu Kumar Patra
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Skill Decision Transformer
Shyam Sudhakaran, Sebastian Risi
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pretraining
Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Vieira Frujeri, Shuhang Chen, Ashish Kapoor
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Yanchao Sun, Shuang Ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
LATTE: LAnguage Trajectory TransformEr
A Fender Coelho Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Build generally reusable agent-environment interaction models
Jun Jin, Hongming Zhang, Jun Luo
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Pierre Joseph Marcel Chambon, Christian Bluethgen, Curtis Langlotz, Akshay Chaudhari
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
What Makes Certain Pre-Trained Visual Representations Better for Robotic Learning?
Kyle Hsu, Tyler Ga Wei Lum, Ruohan Gao, Shixiang Shane Gu, Jiajun Wu, Chelsea Finn
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change)
Karthik Valmeekam, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
A Control-Centric Benchmark for Video Prediction
Stephen Tian, Chelsea Finn, Jiajun Wu
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Adam Fishman, Dieter Fox
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Planning With Large Language Models Via Corrective Re-Prompting
Shreyas Sundara Raman, Vanya Cohen, Eric Rosen, Ifrah Idrees, David Paulius, Stefanie Tellex
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Decision Making as Language Generation
Roland Memisevic, Sunny Panchal, Mingu Lee
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
Lucio M. Dery, Abram L. Friesen, Nando de Freitas, MarcAurelio Ranzato, Yutian Chen
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
A Mixture-of-Expert Approach to RL-based Dialogue Management
Yinlam Chow, Azamat Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Foundation Models for Semantic Novelty in Reinforcement Learning
Tarun Gupta, Peter Karkus, Tong Che, Danfei Xu, Marco Pavone
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal, Charline Le Lan, Ross Goroshin, Pablo Samuel Castro, Marc G Bellemare
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Return Augmentation gives Supervised RL Temporal Compositionality
Keiran Paster, Silviu Pitis, Sheila A. McIlraith, Jimmy Ba
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Aviral Kumar, Rishabh Agarwal, Xinyang Geng, George Tucker, Sergey Levine
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning
Aviral Kumar, Anikait Singh, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine
- 05 Oct 2022 (modified: 05 May 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Offline Reinforcement Learning from Heteroskedastic Data Via Support Constraints
Anikait Singh, Aviral Kumar, Quan Vuong, Yevgen Chebotar, Sergey Levine
- 05 Oct 2022 (modified: 20 Sept 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Planning with Large Language Models for Code Generation
Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone
Learning Control by Iterative Inversion
Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar
- 05 Oct 2022 (modified: 22 Oct 2023)
- FMDM@NeurIPS2022
- Readers: Everyone