World Models

27 March 2018

Papers citing "World Models"

50 / 254 papers shown

Title
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 33 28 0 05 Oct 2022
Hyperbolic VAE via Latent Gaussian Distributions Seunghyuk Cho Juyong Lee Dongwoo Kim DRL 54 5 0 30 Sep 2022
Locally Constrained Representations in Reinforcement Learning Somjit Nath Rushiv Arora Samira Ebrahimi Kahou OOD OffRL 34 0 0 20 Sep 2022
T3VIP: Transformation-based 3D Video Prediction Iman Nematollahi Erick Rosete-Beas Seyed Mahdi B. Azad Raghunandan Rajan Frank Hutter Wolfram Burgard VGen 68 1 0 19 Sep 2022
A Biologically-Inspired Dual Stream World Model Arthur Juliani Margaret E. Sereno 19 0 0 16 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden David Meger Doina Precup 35 18 0 15 Sep 2022
Multi-Step Prediction in Linearized Latent State Spaces for Representation Learning A. Tytarenko BDL 38 1 0 02 Sep 2022
Intrinsically Motivated Learning of Causal World Models Louis Annabi CLL CML DRL LRM 26 1 0 09 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 29 6 0 08 Aug 2022
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations Kuang-Huei Lee Ofir Nachum Tingnan Zhang S. Guadarrama Jie Tan Wenhao Yu 24 16 0 27 Jul 2022
EgoEnv: Human-centric environment representations from egocentric video Tushar Nagarajan Santhosh Kumar Ramakrishnan Ruta Desai James M. Hillis Kristen Grauman EgoV 42 19 0 22 Jul 2022
Skill-based Model-based Reinforcement Learning Lu Shi Joseph J. Lim Youngwoon Lee 32 45 0 15 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 35 15 0 07 Jul 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 93 147 0 28 Jun 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 22 68 0 16 Jun 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity Alekh Agarwal Tong Zhang 50 22 0 15 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 39 141 0 15 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 37 31 0 10 Jun 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 24 14 0 09 Jun 2022
Critic Sequential Monte Carlo Vasileios Lioutas J. Lavington Justice Sefas Matthew Niedoba Yunpeng Liu Berend Zwartsenberg Setareh Dabiri Frank Wood Adam Scibior 50 7 0 30 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 49 9 0 28 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 51 18 0 23 May 2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul Mariano Phielipp Alan Fern OffRL 28 0 0 22 May 2022
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks Lukas Huber Robert Geirhos Felix Wichmann 58 16 0 20 May 2022
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers Micah Carroll Jessy Lin Orr Paradise Raluca Georgescu Mingfei Sun ... Stephanie Milani Katja Hofmann Matthew J. Hausknecht Anca Dragan Sam Devlin OffRL 40 10 0 28 Apr 2022
Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization? Christopher T. Lengerich Ben Lengerich 32 1 0 27 Apr 2022
Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing V. A. Kich J. C. Jesus Ricardo B. Grando A. H. Kolling Gabriel V. Heisler R. S. Guerra OffRL 30 2 0 24 Apr 2022
Simple and Effective Synthesis of Indoor 3D Scenes Jing Yu Koh Harsh Agrawal Dhruv Batra Richard Tucker Austin Waters Honglak Lee Yinfei Yang Jason Baldridge Peter Anderson VGen 3DV 29 30 0 06 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining Qihang Zhang Zhenghao Peng Bolei Zhou SSL 30 38 0 05 Apr 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 34 10 0 23 Mar 2022
Diffusion Probabilistic Modeling for Video Generation Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 59 257 0 16 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 28 23 0 01 Mar 2022
Inference of Affordances and Active Motor Control in Simulated Agents Fedor Scholz Christian Gumbsch S. Otte Martin Volker Butz AI4CE 32 5 0 23 Feb 2022
TransDreamer: Reinforcement Learning with Transformer World Models Changgu Chen Yi-Fu Wu Jaesik Yoon Sungjin Ahn OffRL 32 91 0 19 Feb 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing Johannes Betz Hongrui Zheng Alexander Liniger Ugo Rosolia Phillip Karle Madhur Behl Venkat Krovi Rahul Mangharam 37 215 0 14 Feb 2022
A General, Evolution-Inspired Reward Function for Social Robotics Thomas Kingsford 24 0 0 01 Feb 2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes Chao Qu Xiaoyu Tan Siqiao Xue Xiaoming Shi James Y. Zhang Hongyuan Mei OffRL 30 17 0 29 Jan 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Paul Vicol Luke Metz Jascha Narain Sohl-Dickstein 27 68 0 27 Dec 2021
Quantifying Multimodality in World Models Andreas Sedlmeier Michael Kölle Robert Muller Leo Baudrexel Claudia Linnhoff-Popien OffRL 22 1 0 14 Dec 2021
Component Transfer Learning for Deep RL Based on Abstract Representations Geoffrey van Driessel Vincent François-Lavet DRL OffRL 28 6 0 22 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 Nov 2021
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 30 93 0 10 Nov 2021
Towards Realistic Market Simulations: a Generative Adversarial Networks Approach Andrea Coletta Matteo Prata Michele Conti Emanuele Mercanti N. Bartolini Aymeric Moulin Svitlana Vyetrenko T. Balch GAN 22 44 0 25 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
Self-Consistent Models and Values Roy Miles Kate Baumli Zita Marinho Angelos Filos Matteo Hessel Hado van Hasselt David Silver 38 8 0 25 Oct 2021
Variational Predictive Routing with Nested Subjective Timescales Alexey Zakharov Qinghai Guo Z. Fountas BDL AI4TS 43 9 0 21 Oct 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Kun Zhang 54 32 0 12 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 37 23 0 11 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 22 11 0 08 Oct 2021
Tile Embedding: A General Representation for Procedural Level Generation via Machine Learning Mrunal Jadhav Matthew J. Guzdial AI4TS 11 10 0 07 Oct 2021