ICLR 2022 Workshop GPL Submissions

Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer
Zoltán Lőrincz, Márton Szemenyei, Robert Moni
- Published: 27 Apr 2022, Last Modified: 22 Oct 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers
Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations
Hao Shen, Weikang Wan, He Wang
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
A Study of Off-Policy Learning in Environments with Procedural Content Generation
Andy Ehrenberg, Robert Kirk, Minqi Jiang, Edward Grefenstette, Tim Rocktäschel
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Learning Transferable Policies By Inferring Agent Morphology
Brandon Trabucco, Mariano Phielipp, Glen Berseth
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Using Deep Learning to Bootstrap Abstractions for Robot Planning
Naman Shah, Siddharth Srivastava
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Don't Freeze Your Embedding: Lessons from Policy Finetuning in Environment Transfer
Victoria Dean, Daniel Kenji Toyama, Doina Precup
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning
Ugo Lecerf, Christelle Yemdji-Tchassi, Pietro Michiardi
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Separating the World and Ego Models for Self-Driving
Vlad Sobal, Alfredo Canziani, Nicolas Carion, Kyunghyun Cho, Yann LeCun
- Published: 27 Apr 2022, Last Modified: 22 Oct 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Multi-objective evolution for Generalizable Policy Gradient Algorithms
Juan Jose Garau-Luis, Yingjie Miao, John D Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust
- Published: 27 Apr 2022, Last Modified: 22 Oct 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
ShiftNorm: On Data Efficiency in Reinforcement Learning with Shift Normalization
Sicong Liu, Xi Sheryl Zhang, Yushuo Li, Yifan Zhang, Jian Cheng
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Improving performance on the ManiSkill Challenge via Super-convergence and Multi-Task Learning
Fabian Dubois, Eric Platon, Tom Sonoda
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Multi-task Reinforcement Learning with Task Representation Method
Myungsik Cho, Whiyoung Jung, Youngchul Sung
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Deep Sequenced Linear Dynamical Systems for Manipulation Policy Learning
Mohammad Nomaan Qureshi, Ben Eisner, David Held
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Learning Robust Task Context with Hypothetical Analogy-Making
Shinyoung Joo, Sang Wan Lee
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation
Yingwei Pan, Yehao Li, Yiheng Zhang, Qi Cai, Fuchen Long, Zhaofan Qiu, Ting Yao, Tao Mei
- Published: 27 Apr 2022, Last Modified: 22 Oct 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Zero-Shot Reward Specification via Grounded Natural Language
Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Reinforcement Learning for Location-Aware Warehouse Scheduling
Stelios Andrew Stavroulakis, Biswa Sengupta
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
A Probabilistic Perspective on Reinforcement Learning via Supervised Learning
Alexandre Piché, Rafael Pardinas, David Vazquez, Christopher Pal
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Prompts and Pre-Trained Language Models for Offline Reinforcement Learning
Denis Tarasov, Vladislav Kurenkov, Sergey Kolesnikov
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, Francesco Locatello
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness
Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Oral
- Readers: Everyone
Density Estimation For Conservative Q-Learning
Paul Daoudi, Ludovic Dos Santos, Merwan Barlier, Aladin Virmaux
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations
Sang Tong, Hongyao Tang, Yi Ma, Jianye HAO, YAN ZHENG, Zhaopeng Meng, Boyan Li, Zhen Wang
- Published: 27 Apr 2022, Last Modified: 05 May 2023
- ICLR 2022 GPL Poster
- Readers: Everyone