Karl Pertsch

发表

Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction pdf

Kostas Daniilidis, Andrew Jaegle, Oleh Rybkin, 2018, ArXiv.

Skill-based Meta-Reinforcement Learning

Joseph J. Lim, Karl Pertsch, Taewook Nam, 2022, ICLR.

Task-Induced Representation Learning

Joseph J. Lim, Karl Pertsch, Jun Yamada, 2022, ICLR.

iPose : Instance-Aware 6 D Pose Estimation of Partly Occluded Objects Omid

Siva Karthik Mustikovela, C. Rother, Eric Brachmann, 2018 .

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction

Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle, 2019, ArXiv.

Goal-Conditioned Video Prediction

Sergey Levine, Chelsea Finn, Oleh Rybkin, 2019 .

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning

Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle, 2019, L4DC.

S KILL - BASED M ETA -R EINFORCEMENT L EARNING

Joseph J. Lim, Karl Pertsch, Taewook Nam, 2022 .

Assisted Teleoperation for Scalable Robot Data Collection

Joseph J. Lim, S. Nikolaidis, Hejia Zhang, 2022 .

Cross-Domain Transfer via Semantic Skill Imitation

Joseph J. Lim, Vikash Kumar, Franziska Meier, 2022, CoRL.

PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection

Joseph J. Lim, S. Nikolaidis, Hejia Zhang, 2022, Robotics: Science and Systems.

RT-1: Robotics Transformer for Real-World Control at Scale

S. Levine, Vincent Vanhoucke, M. Ryoo, 2022, Robotics: Science and Systems.

Transformer Adapters for Robot Learning

Jesse Thomason, Karl Pertsch, Ishika Singh, 2022 .

Learning what you can do before doing anything

Kostas Daniilidis, Andrew Jaegle, Oleh Rybkin, 2018, ICLR.

SPRINT: Scalable Semantic Policy Pre-Training via Language Instruction Relabeling

Joseph J. Lim, Sung Ju Hwang, Xiang Ren, 2022 .

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments pdf

Gaurav S. Sukhatme, Peter Englert, Joseph J. Lim, 2020, CoRL.

Accelerating Reinforcement Learning with Learned Skill Priors pdf

Joseph J. Lim, Karl Pertsch, Youngwoon Lee, 2020, CoRL.

Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors pdf

Chelsea Finn, Oleh Rybkin, Karl Pertsch, 2020, NeurIPS.

PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection

Joseph J. Lim, S. Nikolaidis, Hejia Zhang, 2022, Robotics: Science and Systems.

Demonstration-Guided Reinforcement Learning with Learned Skills

Joseph J. Lim, Karl Pertsch, Yue Wu, 2021, CoRL.

iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects

Eric Brachmann, Carsten Rother, Omid Hosseini Jafari, 2017, ACCV.

RT-1: Robotics Transformer for Real-World Control at Scale

Pannag R. Sanketi, S. Levine, Vincent Vanhoucke, 2022, Robotics: Science and Systems.

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling

Joseph J. Lim, Jesse Zhang, Karl Pertsch, 2023, ArXiv.

Motion Planner Augmented Action Spaces for Reinforcement Learning

Gaurav S. Sukhatme, Peter Englert, Joseph J. Lim, 2020 .

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Pannag R. Sanketi, Peter R. Florence, Montse Gonzalez Arenas, 2023, CoRL.

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance

Karl Pertsch, Shao-Hua Sun, Jiahui Zhang, 2023, CoRL.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023, ArXiv.

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions

S. Levine, Karol Hausman, Ofir Nachum, 2023, CoRL.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Pannag R. Sanketi, Norman Di Palo, Lawrence Yunliang Chen, 2023 .

LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers

Karl Pertsch, Taewook Nam, Jesse Zhang, 2023, 2312.08958.

RoboCLIP: One Demonstration is Enough to Learn Robot Policies

Dorsa Sadigh, Karl Pertsch, Erdem Biyik, 2023, NeurIPS.

Evaluating Real-World Robot Manipulation Policies in Simulation

Ted Xiao, Karl Pertsch, Sean Kirmani, 2024, 2405.05941.

Octo: An Open-Source Generalist Robot Policy

Pannag R. Sanketi, Dibya Ghosh, Ted Xiao, 2024, ArXiv.

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling

Joseph J. Lim, Jesse Zhang, Karl Pertsch, 2023, ArXiv.

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Pannag R. Sanketi, Mateo Guaman Castro, Ilija Radosavovic, 2024, ArXiv.