World Models

27 March 2018

Papers citing "World Models"

50 / 254 papers shown

Title
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning Rafael Rafailov Kyle Hatch Victor Kolev John D. Martin Mariano Phielipp Chelsea Finn OffRL OnRL 22 10 0 06 Jan 2024
Backward Learning for Goal-Conditioned Policies Marc Höftmann Jan Robine Stefan Harmeling 37 1 0 08 Dec 2023
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving Wenzhao Zheng Weiliang Chen Yuanhui Huang Borui Zhang Yueqi Duan Jiwen Lu VGen 62 69 0 27 Nov 2023
Multi Time Scale World Models Vaisakh Shaj Saleh Gholam Zadeh Ozan Demir L. R. Douat Gerhard Neumann AI4CE 33 3 0 27 Oct 2023
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models Emmanuel Klu Sameer Sethi DJ Passey Donald Martin AI4CE SyDa 33 0 0 19 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou Lei Gan Dequan Wang Chongxuan Li Zhijie Deng BDL DiffM 23 7 0 17 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
Loci-Segmented: Improving Scene Segmentation Learning Manuel Traub Frederic Becker Adrian Sauter S. Otte Martin Volker Butz 26 2 0 16 Oct 2023
Learning Object Permanence from Videos via Latent Imaginations Manuel Traub Frederic Becker S. Otte Martin Volker Butz 33 1 0 16 Oct 2023
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models Paul Mattes Rainer Schlosser R. Herbrich 29 4 0 08 Oct 2023
Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song Wendi Ren Sourav Garg 29 1 0 06 Oct 2023
Structured World Models from Human Videos Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 51 87 0 21 Aug 2023
PASTA: Pretrained Action-State Transformer Agents Raphael Boige Yannis Flet-Berliac Arthur Flajolet Guillaume Richard Thomas Pierrot LM&Ro OffRL 42 5 0 20 Jul 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 32 19 0 12 Jul 2023
Policy Contrastive Imitation Learning Jialei Huang Zhao-Heng Yin Yingdong Hu Yang Gao 34 3 0 06 Jul 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 35 2 0 09 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 27 3 0 30 Apr 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 21 0 0 12 Apr 2023
Grid-SD2E: A General Grid-Feedback in a System for Cognitive Learning Jingyi Feng Chenming Zhang 32 1 0 04 Apr 2023
Coincidental Generation Jordan W. Suchow Necdet Gurkan 35 0 0 03 Apr 2023
Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles Daichi Saito Eri Nagatomo Jefferson Pardomuan Hideki Koike 21 0 0 01 Apr 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play Irmak Güzey Ben Evans Soumith Chintala Lerrel Pinto 72 66 0 21 Mar 2023
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction Xiaotao Hu Zhewei Huang Ailin Huang Jun Xu Shuchang Zhou VGen 38 69 0 17 Mar 2023
Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors Kourosh Darvish S. Ivaldi Daniele Pucci AI4CE 31 2 0 14 Mar 2023
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing Shuai Xiao Le Guo Zaifan Jiang Lei Lv Yuanbo Chen Jun Zhu Shuang Yang 30 21 0 02 Mar 2023
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 34 10 0 24 Feb 2023
Rejecting Cognitivism: Computational Phenomenology for Deep Learning P. Beckmann G. Köstner Ines Hipólito 37 4 0 16 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 36 20 0 13 Feb 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang Nan Rosemary Ke Hado van Hasselt 16 3 0 08 Feb 2023
Witgenstein's influence on artificial intelligence Piero Molino Jacopo Tagliabue 26 0 0 03 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 44 13 0 01 Feb 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 59 22 0 12 Jan 2023
Equivariant Representation Learning in the Presence of Stabilizers Luis Armando ∗. GiovanniLucaMarchetti Danica Kragic D. Jarnikov Mike Holenderski 29 0 0 12 Jan 2023
Predictive World Models from Real-World Partial Observations Robin Karlsson Alexander Carballo Keisuke Fujii Kento Ohtani K. Takeda 46 5 0 12 Jan 2023
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context Xiaoyu Chen Xiangming Zhu Yufeng Zheng Pushi Zhang Li Zhao ... Peng Cheng Y. Xiong Tao Qin Jianyu Chen Tie-Yan Liu OffRL 16 11 0 24 Dec 2022
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning Christopher T. Lengerich Gabriel Synnaeve Amy Zhang Hugh Leather Kurt Shuster Franccois Charton Charysse Redwood SSL OffRL 27 1 0 21 Dec 2022
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning Zhao Mandi Homanga Bharadhwaj Vincent Moens Shuran Song Aravind Rajeswaran Vikash Kumar LM&Ro 28 70 0 12 Dec 2022
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines Koji Watanabe Katsumi Inoue AI4CE 35 1 0 07 Dec 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning Tingting Zhao Ying Wang Weidong Sun Yarui Chen Gang Niu Masashi Sugiyama 19 1 0 23 Nov 2022
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation Akira Taniguchi Y. Tabuchi Tomochika Ishikawa Lotfi El Hafi Y. Hagiwara T. Taniguchi 26 4 0 20 Nov 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 26 21 0 20 Nov 2022
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 25 0 0 07 Nov 2022
On learning history based policies for controlling Markov decision processes Gandharv Patil Aditya Mahajan Doina Precup OffRL 21 5 0 06 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 23 52 0 03 Nov 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 39 22 0 22 Oct 2022
Sample Efficient Robot Learning with Structured World Models T. Akbulut Max Merlin Shane Parr Benedict Quartey Skye Thompson 21 0 0 21 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 27 8 0 21 Oct 2022
Safe Policy Improvement in Constrained Markov Decision Processes Luigi Berducci Radu Grosu OffRL 36 2 0 20 Oct 2022
JECC: Commonsense Reasoning Tasks Derived from Interactive Fictions Mo Yu Yi Gu Xiaoxiao Guo Yufei Feng Xiao-Dan Zhu Michael A. Greenspan Murray Campbell Chuang Gan LRM 38 0 0 18 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 30 9 0 17 Oct 2022