Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning

4 November 2021

Papers citing "Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning"

32 / 32 papers shown

Title
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation Hao Zhang Hao Wang Xiucai Huang Wenrui Chen Z. Kan 36 0 0 31 Dec 2024
RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World Weixin Mao Weiheng Zhong Zhou Jiang Dong Fang Zhongyue Zhang ... Fan Jia Tiancai Wang Haoqiang Fan Osamu Yoshie Osamu Yoshie 116 4 0 29 Nov 2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models Kanghyun Ryu Qiayuan Liao Zhongyu Li K. Sreenath Negar Mehr Negar Mehr LM&Ro 150 3 0 27 Sep 2024
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph Utkarsh Aashu Mishra Yongxin Chen Danfei Xu LRM 28 4 0 24 Sep 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Yixuan Huang Christopher Agia Jimmy Wu Tucker Hermans Jeannette Bohg 3DPC 49 1 0 27 Aug 2024
Scalable Signal Temporal Logic Guided Reinforcement Learning via Value Function Space Optimization Yiting He Peiran Liu Yiding Ji OffRL 34 0 0 04 Aug 2024
Learning telic-controllable state representations Nadav Amir Stas Tiomkin Angela Langdon 29 0 0 20 Jun 2024
Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning Teng Xue Amirreza Razmjoo Suhan Shetty Sylvain Calinon 19 4 0 07 May 2024
Learning Planning Abstractions from Language Weiyu Liu Geng Chen Joy Hsu Jiayuan Mao Jiajun Wu PINN 43 2 0 06 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 21 0 0 19 Apr 2024
RoboMP $^2$ : A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models Qi Lv Haochuan Li Xiang Deng Rui Shao Michael Yu Wang Liqiang Nie LRM LM&Ro 32 1 0 07 Apr 2024
Future Predictive Success-or-Failure Classification for Long-Horizon Robotic Tasks Naoya Sogi Hiroyuki Oyama Takashi Shibata Makoto Terao 38 0 0 04 Apr 2024
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents Jae-Woo Choi Youngwoo Yoon Hyobin Ong Jaehong Kim Minsu Jang 19 12 0 13 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL Sungyoon Kim Yunseon Choi Daiki E. Matsunaga Kee-Eung Kim OffRL 38 6 0 11 Feb 2024
A Survey of Reasoning with Foundation Models Jiankai Sun Chuanyang Zheng E. Xie Zhengying Liu Ruihang Chu ... Xipeng Qiu Yi-Chen Guo Hui Xiong Qun Liu Zhenguo Li ReLM LRM AI4CE 24 76 0 17 Dec 2023
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models Utkarsh Aashu Mishra Shangjie Xue Yongxin Chen Danfei Xu LRM 31 65 0 13 Oct 2023
LangNav: Language as a Perceptual Representation for Navigation Bowen Pan Rameswar Panda SouYoung Jin Rogerio Feris Aude Oliva Phillip Isola Yoon Kim LM&Ro 28 18 0 11 Oct 2023
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Mingde Zhao Safa Alver H. V. Seijen Romain Laroche Doina Precup Yoshua Bengio 15 3 0 30 Sep 2023
Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting Marta Skreta Naruki Yoshikawa Sebastian Arellano-Rubach Zhi Ji L. B. Kristensen Kourosh Darvish Alán Aspuru-Guzik Florian Shkurti Animesh Garg 73 56 0 24 Mar 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents Wenlong Huang Fei Xia Dhruv Shah Danny Driess Andy Zeng ... Pete Florence Igor Mordatch Sergey Levine Karol Hausman Brian Ichter LM&Ro 19 41 0 01 Mar 2023
Hierarchical Reinforcement Learning in Complex 3D Environments Bernardo Avila-Pires Feryal M. P. Behbahani Hubert Soyer Kyriacos Nikiforou Thomas Keck Satinder Singh OffRL 16 0 0 28 Feb 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning Haichao Zhang Weiwen Xu Haonan Yu CLL OffRL OnRL 34 62 0 02 Feb 2023
STAP: Sequencing Task-Agnostic Policies Christopher Agia Toki Migimatsu Jiajun Wu Jeannette Bohg 35 19 0 21 Oct 2022
Generating Executable Action Plans with Environmentally-Aware Language Models Maitrey Gramopadhye D. Szafir LM&Ro LLMAG 15 22 0 10 Oct 2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Ishika Singh Valts Blukis Arsalan Mousavian Ankit Goyal Danfei Xu Jonathan Tremblay D. Fox Jesse Thomason Animesh Garg LM&Ro LLMAG 120 622 0 22 Sep 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 28 81 0 19 Sep 2022
Skill-based Model-based Reinforcement Learning Lu Shi Joseph J. Lim Youngwoon Lee 19 44 0 15 Jul 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 39 852 0 12 Jul 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao Zhiming Li Tianpei Yang Hao Zhang Yan Zheng Yi Li Jianye Hao Yang Liu NAI 25 16 0 27 May 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-Tao Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 43 1,833 0 04 Apr 2022
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu W. Xu BDL 125 82 0 16 Jan 2021
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019