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Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

6 March 2024

Papers citing "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"

50 / 74 papers shown

Title
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 170 1 0 08 Feb 2025
The "Law" of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities Yongwei Che Benjamin Eysenbach 66 1 0 20 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 112 5 0 17 Jan 2025
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals Grace Liu Michael Tang Benjamin Eysenbach OffRL 119 2 0 11 Aug 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning Xiaoyu Wen Chenjia Bai Kang Xu Xudong Yu Yang Zhang Xuelong Li Zhen Wang 94 5 0 10 May 2024
XSkill: Cross Embodiment Skill Discovery Mengda Xu Zhenjia Xu Cheng Chi Manuela Veloso Shuran Song 92 74 0 19 Jul 2023
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng Benjamin Eysenbach Homer Walke Patrick Yin Kuan Fang Ruslan Salakhutdinov Sergey Levine OffRL SSL 50 6 0 06 Jun 2023
LIV: Language-Image Representations and Rewards for Robotic Control Yecheng Jason Ma William Liang Vaidehi Som Vikash Kumar Amy Zhang Osbert Bastani Dinesh Jayaraman LM&Ro 87 129 0 01 Jun 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 85 15 0 26 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 105 45 0 03 Apr 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 1.5K 14,699 0 15 Mar 2023
Language-Driven Representation Learning for Robotics Siddharth Karamcheti Suraj Nair Annie S. Chen Thomas Kollar Chelsea Finn Dorsa Sadigh Percy Liang LM&Ro SSL 105 156 0 24 Feb 2023
Understanding Self-Predictive Learning for Reinforcement Learning Yunhao Tang Z. Guo Pierre Harvey Richemond Bernardo Avila-Pires Yash Chandak ... S. Thakoor Will Dabney Bilal Piot Daniele Calandriello Michal Valko SSL 100 30 0 06 Dec 2022
UniMASK: Unified Inference in Sequential Decision Problems Micah Carroll Orr Paradise Jessy Lin Raluca Georgescu Mingfei Sun ... Stephanie Milani Katja Hofmann Matthew J. Hausknecht Anca Dragan Sam Devlin OffRL 86 22 0 20 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 100 9 0 03 Nov 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks Kuan Fang Patrick Yin Ashvin Nair Homer Walke Ge Yan Sergey Levine OffRL 78 24 0 12 Oct 2022
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma Shagun Sodhani Dinesh Jayaraman Osbert Bastani Vikash Kumar Amy Zhang SSL OffRL 77 304 0 30 Sep 2022
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare Homanga Bharadhwaj Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 87 26 0 18 Sep 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 84 72 0 16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 96 163 0 15 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$ -Advantage Regression Yecheng Jason Ma Jason Yan Dinesh Jayaraman Osbert Bastani OffRL 80 58 0 07 Jun 2022
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL Homanga Bharadhwaj Mohammad Babaeizadeh D. Erhan Sergey Levine 86 31 0 18 Apr 2022
R3M: A Universal Visual Representation for Robot Manipulation Suraj Nair Aravind Rajeswaran Vikash Kumar Chelsea Finn Abhi Gupta LM&Ro 101 584 0 23 Mar 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL Rui Yang Yiming Lu Wenzhe Li Hao Sun Meng Fang Yali Du Xiu Li Lei Han Chongjie Zhang OffRL 82 72 0 09 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 485 15,734 0 20 Dec 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 82 18 0 22 Oct 2021
Finetuning Pretrained Transformers into Variational Autoencoders Seongmin Park Jihwa Lee 74 22 0 05 Aug 2021
InfoNCE is variational inference in a recognition parameterised model Laurence Aitchison Stoil Ganev BDL 61 10 0 06 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 77 144 0 01 Jul 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space Tung D. Nguyen Rui Shu Tu Pham Hung Bui Stefano Ermon OffRL 86 59 0 14 Jun 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 86 38 0 08 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 158 685 0 03 Jun 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 72 38 0 03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 136 1,658 0 02 Jun 2021
Curious Representation Learning for Embodied Intelligence Yilun Du Chuang Gan Phillip Isola SSL LM&Ro 142 40 0 03 May 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,810 0 26 Feb 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 215 60 0 30 Dec 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,072 0 20 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 68 71 0 17 Nov 2020
Semantics-Guided Representation Learning with Applications to Visual Synthesis Jia-Wei Yan Ci-Siang Lin Fu-En Yang Yu-Jhe Li Y. Wang 74 2 0 21 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 365 345 0 14 Sep 2020
Spatiotemporal Contrastive Video Representation Learning Rui Qian Tianjian Meng Boqing Gong Ming-Hsuan Yang Haoran Wang Serge J. Belongie Huayu Chen SSL AI4TS 114 501 0 09 Aug 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 93 321 0 12 Jul 2020
Control-Aware Representations for Model-based Reinforcement Learning Brandon Cui Yinlam Chow Mohammad Ghavamzadeh BDL 68 13 0 24 Jun 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation Yizhe Zhu Martin Renqiang Min Asim Kadav H. Graf CoGe DRL 58 96 0 23 May 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang Phillip Isola SSL 162 1,855 0 20 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 229 1,381 0 15 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 492 3,443 0 09 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 86 25 0 02 Mar 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 70 13 0 15 Feb 2020