Recurrent Environment Simulators

7 April 2017

Papers citing "Recurrent Environment Simulators"

37 / 37 papers shown

Title
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation R. Yasarla Manish Kumar Singh Hong Cai Yunxiao Shi Jisoo Jeong Yinhao Zhu Shizhong Han Risheek Garrepalli Fatih Porikli MDE 88 6 0 17 Jan 2025
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 136 0 0 28 Oct 2024
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation Hyungjoo Chae Namyoung Kim Kai Tzu-iunn Ong Minju Gwak Gwanwoo Song Jihoon Kim S. Kim Dongha Lee Jinyoung Yeo LLMAG 33 14 0 17 Oct 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 40 1 0 26 Jul 2024
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation Hanqing Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 30 28 0 14 Aug 2023
PRISM: Probabilistic Real-Time Inference in Spatial World Models Atanas Mirchev Baris Kayalibay Ahmed Agha Patrick van der Smagt Daniel Cremers Justin Bayer VGen 20 0 0 06 Dec 2022
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters Heyuan Yao Zhenhua Song B. Chen Libin Liu DRL VGen 8 41 0 12 Oct 2022
Playable Environments: Video Manipulation in Space and Time Willi Menapace Stéphane Lathuilière Aliaksandr Siarohin Christian Theobalt Sergey Tulyakov Vladislav Golyanik Elisa Ricci VGen 23 22 0 03 Mar 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 24 4 0 20 Jan 2022
OPEn: An Open-ended Physics Environment for Learning Without a Task Chuang Gan Abhishek Bhandwaldar Antonio Torralba J. Tenenbaum Phillip Isola LRM 133 4 0 13 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 19 6 0 12 Oct 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 18 43 0 27 Jul 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 66 643 0 03 Jun 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation S. Kim Jonah Philion Antonio Torralba Sanja Fidler 14 108 0 30 Apr 2021
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 33 809 0 05 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 24 43 0 28 Sep 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 14 5 0 12 Jul 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations Changkyu Song Abdeslam Boularias 25 38 0 11 May 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 21 32 0 07 Feb 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 27 60 0 30 Dec 2019
Model-based Behavioral Cloning with Future Image Similarity Learning Alan Wu A. Piergiovanni Michael S. Ryoo OffRL 18 14 0 08 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Mathematical Reasoning in Latent Space Dennis Lee Christian Szegedy M. Rabe Sarah M. Loos Kshitij Bansal 21 33 0 26 Sep 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 42 24 0 11 Apr 2019
A Local Approach to Forward Model Learning: Results on the Game of Life Game Simon Lucas Alexander Dockhorn Vanessa Volz Chris Bamford Raluca D. Gaina Ivan Bravi Diego Perez-Liebana Sanaz Mostaghim R. Kruse 14 17 0 29 Mar 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 26 377 0 03 Dec 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu S. Hansen Volodymyr Mnih DRL OffRL SSL 22 172 0 28 Nov 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 18 126 0 08 Jun 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 19 36 0 25 May 2018
Imitating Latent Policies from Observation Ashley D. Edwards Himanshu Sahni Yannick Schroecker Charles Isbell 29 137 0 21 May 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro Danilo Jimenez Rezende Yori Zwols Alexander Pritzel S. M. Ali Eslami Fabio Viola 23 28 0 25 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 28 450 0 04 Apr 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 39 525 0 21 Feb 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents Joel Z. Leibo Cyprien de Masson dÁutume Daniel Zoran David Amos Charlie Beattie ... Simon Green A. Gruslys Shane Legg Demis Hassabis M. Botvinick 14 78 0 24 Jan 2018
Self-Supervised Visual Planning with Temporal Skip Connections F. Ebert Chelsea Finn Alex X. Lee Sergey Levine SSL 40 317 0 15 Oct 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 40 547 0 19 Jul 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 16 288 0 28 Dec 2016