World Models

27 March 2018

Papers citing "World Models"

50 / 227 papers shown

Title
Robotic Occlusion Reasoning for Efficient Object Existence Prediction Mengdi Li C. Weber Matthias Kerzel Jae Hee Lee Zheni Zeng Zhiyuan Liu S. Wermter 21 7 0 26 Jul 2021
Reasoning-Modulated Representations Petar Velivcković Matko Bovsnjak Thomas Kipf Alexander Lerchner R. Hadsell Razvan Pascanu Charles Blundell OCL OOD SSL 18 15 0 19 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 32 36 0 12 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 30 5 0 09 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 33 111 0 07 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 29 54 0 02 Jul 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 31 36 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 20 46 0 08 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps Chengguang Xu Chris Amato Lawson L. S. Wong 22 6 0 07 Jun 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 40 20 0 26 Mar 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages Sampo Kuutti Richard Bowden Saber Fallah 35 14 0 17 Mar 2021
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments Antonia Creswell Rishabh Kabra Christopher P. Burgess Murray Shanahan OCL 30 29 0 08 Mar 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos Haoqi Yuan Ruihai Wu Andrew Zhao Hanwang Zhang Zihan Ding Hao Dong 19 3 0 07 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 24 66 0 02 Mar 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 42 12 0 22 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 26 14 0 18 Feb 2021
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning Nathan Lambert Albert Wilcox Howard Zhang K. Pister Roberto Calandra 25 33 0 16 Dec 2020
DeepKoCo: Efficient latent planning with a task-relevant Koopman representation B. V. D. Heijden L. Ferranti Jens Kober Robert Babuška 16 6 0 25 Nov 2020
Towards Learning Controllable Representations of Physical Systems Kevin Haninger R. Vicente-Garcia J. Krüger 31 1 0 16 Nov 2020
Causal Campbell-Goodhart's law and Reinforcement Learning Hal Ashton CML 11 4 0 02 Nov 2020
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 225 68 0 23 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 48 814 0 05 Oct 2020
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin Yi-Fu Wu Skand Peri Bofeng Fu Jindong Jiang Sungjin Ahn OCL 27 80 0 05 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie Zhiding Yu Lei Mao Ankit B. Patel Yuke Zhu Anima Anandkumar VLM LRM 20 75 0 02 Oct 2020
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents Nicola Milano S. Nolfi 11 0 0 15 Sep 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 39 48 0 24 Aug 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 23 72 0 24 Jul 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 27 49 0 29 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulić OffRL 22 27 0 23 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 25 108 0 12 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 21 44 0 12 Jun 2020
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time Iddo Drori Anant Kharkar William R. Sickinger Brandon Kates Qiang Ma Suwen Ge Eden Dolev Brenda L Dietrich David P. Williamson Madeleine Udell 16 82 0 06 Jun 2020
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization Quentin Cappart Thierry Moisan Louis-Martin Rousseau Isabeau Prémont-Schwarz A. Ciré 26 138 0 02 Jun 2020
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network Takazumi Matsumoto Jun Tani DRL 16 28 0 27 May 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 29 1 0 21 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 398 0 12 May 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 353 0 14 Feb 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 24 32 0 07 Feb 2020
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations Pedro Sequeira Melinda Gervasio 19 104 0 19 Dec 2019
Adversarial recovery of agent rewards from latent spaces of the limit order book Jacobo Roa-Vicens Yuanbo Wang Virgile Mison Y. Gal Ricardo M. A. Silva 23 3 0 09 Dec 2019
Policy Optimization Reinforcement Learning with Entropy Regularization Jingbin Liu Xinyang Gu Shuai Liu 20 4 0 02 Dec 2019
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 2019
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning Patrik Reizinger Marton Szemenyei 31 16 0 23 Oct 2019
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books Haoran Wei Yuanbo Wang L. Mangu Keith S. Decker 13 24 0 09 Oct 2019
Towards Model-based Reinforcement Learning for Industry-near Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo OffRL DRL 17 4 0 27 Jul 2019
Learning to design from humans: Imitating human designers through deep learning Ayush Raina Christopher McComb Jonathan Cagan 3DV AI4CE 32 65 0 26 Jul 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 14 5 0 02 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 25 372 0 01 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Evan Racah C. Pal SSL 27 2 0 27 Jun 2019
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman 20 40 0 27 Jun 2019