Language Guided Skill Discovery

7 June 2024

Laura Smith

Papers citing "Language Guided Skill Discovery"

36 / 36 papers shown

Title
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Zaid Khan Elias Stengel-Eskin Jaemin Cho Joey Tianyi Zhou VGen 89 1 0 08 Oct 2024
Eureka: Human-Level Reward Design via Coding Large Language Models Yecheng Jason Ma William Liang Guanzhi Wang De-An Huang Osbert Bastani Dinesh Jayaraman Yuke Zhu Linxi Fan A. Anandkumar 49 304 0 19 Oct 2023
Language Models as Zero-Shot Trajectory Generators Teyun Kwon Norman Di Palo Edward Johns LM&Ro 51 47 0 17 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 42 36 0 13 Oct 2023
Prompt a Robot to Walk with Large Language Models Yen-Jen Wang Bike Zhang Jianyu Chen Koushil Sreenath LM&Ro LLMAG 71 50 0 18 Sep 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Xi Chen ... Ted Xiao Peng Xu Sichun Xu Tianhe Yu Brianna Zitkovich LM&Ro LRM 86 1,172 0 28 Jul 2023
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition Huy Ha Peter R. Florence Shuran Song LM&Ro 64 154 0 26 Jul 2023
Language to Rewards for Robotic Skill Synthesis Wenhao Yu Nimrod Gileadi Chuyuan Fu Sean Kirmani Kuang-Huei Lee ... N. Heess Dorsa Sadigh Jie Tan Yuval Tassa F. Xia LM&Ro 65 276 0 14 Jun 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 663 13,788 0 15 Mar 2023
PaLM-E: An Embodied Multimodal Language Model Danny Driess F. Xia Mehdi S. M. Sajjadi Corey Lynch Aakanksha Chowdhery ... Marc Toussaint Klaus Greff Andy Zeng Igor Mordatch Peter R. Florence LM&Ro 42 1,594 0 06 Mar 2023
ChatGPT for Robotics: Design Principles and Model Abilities Sai H. Vemprala Rogerio Bonatti A. Bucker Ashish Kapoor LM&Ro 49 464 0 20 Feb 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 52 177 0 13 Feb 2023
Controllability-Aware Unsupervised Skill Discovery Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 42 43 0 10 Feb 2023
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Ishika Singh Valts Blukis Arsalan Mousavian Ankit Goyal Danfei Xu Jonathan Tremblay Dieter Fox Jesse Thomason Animesh Garg LM&Ro LLMAG 137 640 0 22 Sep 2022
Inner Monologue: Embodied Reasoning through Planning with Language Models Wenlong Huang F. Xia Ted Xiao Harris Chan Jacky Liang ... Tomas Jackson Linda Luu Sergey Levine Karol Hausman Brian Ichter LLMAG LM&Ro LRM 73 880 0 12 Jul 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Cortes ... Ted Xiao Peng Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 129 1,922 0 04 Apr 2022
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language Andy Zeng Maria Attarian Brian Ichter K. Choromanski Adrian S. Wong ... Michael S. Ryoo Vikas Sindhwani Johnny Lee Vincent Vanhoucke Peter R. Florence ReLM LRM 127 578 0 01 Apr 2022
Lipschitz-constrained Unsupervised Skill Discovery Seohong Park Jongwook Choi Jaekyeom Kim Honglak Lee Gunhee Kim 58 44 0 02 Feb 2022
Wasserstein Unsupervised Reinforcement Learning Shuncheng He Yuhang Jiang Hongchang Zhang Jianzhun Shao Xiangyang Ji OffRL 40 22 0 15 Oct 2021
Skill Induction and Planning with Latent Language Pratyusha Sharma Antonio Torralba Jacob Andreas LM&Ro 222 109 0 04 Oct 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 76 119 0 31 Aug 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning Viktor Makoviychuk Lukasz Wawrzyniak Yunrong Guo Michelle Lu Kier Storey ... David Hoeller Nikita Rudin Arthur Allshire Ankur Handa Gavriel State 120 1,049 0 24 Aug 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 62 196 0 08 Mar 2021
Reinforcement Learning with Prototypical Representations Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto SSL 48 221 0 22 Feb 2021
Variational Intrinsic Control Revisited Taehwan Kwon 13 12 0 07 Oct 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 675 11,979 0 27 Aug 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 61 404 0 02 Jul 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 58 151 0 12 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 54 377 0 10 Jun 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 102 117 0 28 Mar 2019
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 95 1,310 0 30 Oct 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 73 1,075 0 16 Feb 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 243 18,685 0 20 Jul 2017
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 51 427 0 22 Nov 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 220 5,502 0 23 Nov 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 45 3,368 0 08 Jun 2015