Dream to Control: Learning Behaviors by Latent Imagination

3 December 2019

Jimmy Ba

Papers citing "Dream to Control: Learning Behaviors by Latent Imagination"

50 / 339 papers shown

Title
PRISM: Probabilistic Real-Time Inference in Spatial World Models Atanas Mirchev Baris Kayalibay Ahmed Agha Patrick van der Smagt Daniel Cremers Justin Bayer VGen 41 0 0 06 Dec 2022
Tackling Visual Control via Multi-View Exploration Maximization Mingqi Yuan Xin Jin Bo Li Wenjun Zeng 33 1 0 28 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 31 22 0 23 Nov 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
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions Kevin Frans Phillip Isola OffRL 47 9 0 23 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients Bryan Lim Manon Flageat Antoine Cully 25 4 0 22 Nov 2022
Joint Embedding Predictive Architectures Focus on Slow Features Vlad Sobal V. JyothirS Siddhartha Jalagam Nicolas Carion Kyunghyun Cho Yann LeCun 24 8 0 20 Nov 2022
Model Based Residual Policy Learning with Applications to Antenna Control Viktor Eriksson Mollerstedt Alessio Russo Maxime Bouton OffRL 33 3 0 16 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
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments J. Burns A. Sundaresan Pedro Sequeira Vidyasagar Sadhu 27 0 0 03 Nov 2022
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering Jun Lv Yunhai Feng Cheng Zhang Shu Zhao Lin Shao Cewu Lu 20 24 0 27 Oct 2022
On Many-Actions Policy Gradient Michal Nauman Marek Cygan 19 0 0 24 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 62 9 0 23 Oct 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
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu Shangqun Yu Michael Littman George Konidaris BDL OffRL 26 12 0 20 Oct 2022
Safe Policy Improvement in Constrained Markov Decision Processes Luigi Berducci Radu Grosu OffRL 36 2 0 20 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu Nicklas Hansen Zirui Wang Yung-Chieh Chan H. Su Zhuowen Tu OffRL 36 16 0 19 Oct 2022
Transformers Learn Shortcuts to Automata Bingbin Liu Jordan T. Ash Surbhi Goel A. Krishnamurthy Cyril Zhang OffRL LRM 48 158 0 19 Oct 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 33 21 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
Visual Reinforcement Learning with Self-Supervised 3D Representations Yanjie Ze Nicklas Hansen Yinbo Chen Mohit Jain Xiaolong Wang SSL 34 49 0 13 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 47 27 0 10 Oct 2022
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
Visuo-Tactile Transformers for Manipulation Yizhou Chen A. Sipos Mark Van der Merwe Nima Fazeli ViT 67 34 0 30 Sep 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning Daesol Cho D. Shim H. J. Kim OffRL 45 11 0 30 Sep 2022
Hyperbolic VAE via Latent Gaussian Distributions Seunghyuk Cho Juyong Lee Dongwoo Kim DRL 57 5 0 30 Sep 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning Tankred Saanum Eric Schulz 31 1 0 29 Sep 2022
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Sai Rajeswar Pietro Mazzaglia Tim Verbelen Alexandre Piché Bart Dhoedt Rameswar Panda Alexandre Lacoste SSL 33 21 0 24 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 70 1 0 19 Sep 2022
Learning Policies for Continuous Control via Transition Models Justus F. Huebotter Serge Thill Marcel van Gerven Pablo Lanillos 34 2 0 16 Sep 2022
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes Hao Fei Hongyao Tang Jianye Hao Yan Zheng OffRL 31 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
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 24 163 0 01 Sep 2022
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving Haochen Liu Zhiyu Huang Xiaoyu Mo Chen Lv ViT OffRL 40 34 0 24 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 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
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 26 32 0 29 Jul 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 45 19 0 22 Jul 2022
Skill-based Model-based Reinforcement Learning Lu Shi Joseph J. Lim Youngwoon Lee 34 45 0 15 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 40 36 0 03 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
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 61 278 0 28 Jun 2022
C-SENN: Contrastive Self-Explaining Neural Network Yoshihide Sawada Keigo Nakamura SSL 16 8 0 20 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 53 101 0 19 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 24 69 0 16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 42 141 0 15 Jun 2022