World Models

27 March 2018

Papers citing "World Models"

50 / 254 papers shown

Title
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 37 2 0 06 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 32 15 0 05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 40 39 0 05 Oct 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Making Curiosity Explicit in Vision-based RL Elie Aljalbout Maximilian Ulmer Rudolph Triebel OffRL 34 2 0 28 Sep 2021
Deep Reinforcement Learning with Adjustments H. Khorasgani Haiyan Wang Chetan Gupta Susumu Serita 23 2 0 28 Sep 2021
Learning cortical representations through perturbed and adversarial dreaming Nicolas Deperrois Mihai A. Petrovici Walter Senn Jakob Jordan GAN CLL 58 21 0 09 Sep 2021
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem Niels van Hoeffelen Pablo Lanillos DRL AI4CE BDL 32 6 0 09 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 74 369 0 01 Sep 2021
Robotic Occlusion Reasoning for Efficient Object Existence Prediction Mengdi Li C. Weber Matthias Kerzel Jae Hee Lee Zheni Zeng Zhiyuan Liu S. Wermter 27 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 36 111 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 36 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 22 46 0 08 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps Chengguang Xu Chris Amato Lawson L. S. Wong 25 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 40 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
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 24 11 0 04 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 24 67 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 28 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 53 819 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 26 75 0 02 Oct 2020
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents Nicola Milano S. Nolfi 16 0 0 15 Sep 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 286 341 0 14 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 30 49 0 29 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulić OffRL 30 27 0 23 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 27 108 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 23 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 22 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 24 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 33 399 0 12 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 20 647 0 30 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 49 1,063 0 08 Apr 2020