Dream to Control: Learning Behaviors by Latent Imagination

3 December 2019

Jimmy Ba

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

50 / 306 papers shown

Title
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 13 0 15 Jun 2023
On the Efficacy of 3D Point Cloud Reinforcement Learning Z. Ling Yuan Yao Xuanlin Li H. Su 3DPC 34 13 0 11 Jun 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 26 9 0 31 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 31 25 0 29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 34 9 0 29 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 42 10 0 25 May 2023
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching Yecheng Jason Ma K. Sivakumar Jason Yan Osbert Bastani Dinesh Jayaraman OffRL MU 29 6 0 22 May 2023
Language Models Meet World Models: Embodied Experiences Enhance Language Models Jiannan Xiang Tianhua Tao Yi Gu Tianmin Shu Zirui Wang Zichao Yang Zhiting Hu ALM LLMAG LM&Ro CLL 36 94 0 18 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 27 2 0 09 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 84 2 0 02 May 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 61 8 0 22 Apr 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 27 2 0 21 Apr 2023
Model Predictive Control with Self-supervised Representation Learning Jonas A. Matthies Muhammad Burhan Hafez Mostafa Kotb S. Wermter SSL 13 0 0 14 Apr 2023
A-CAP: Anticipation Captioning with Commonsense Knowledge D. Vo Quoc-An Luong Akihiro Sugimoto Hideki Nakayama 27 2 0 13 Apr 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 21 0 0 12 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 43 6 0 06 Apr 2023
ENTL: Embodied Navigation Trajectory Learner Klemen Kotar Aaron Walsman Roozbeh Mottaghi 23 6 0 05 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 32 33 0 03 Apr 2023
Tracker: Model-based Reinforcement Learning for Tracking Control of Human Finger Attached with Thin McKibben Muscles Daichi Saito Eri Nagatomo Jefferson Pardomuan Hideki Koike 19 0 0 01 Apr 2023
Model-Based Reinforcement Learning with Isolated Imaginations Minting Pan Xiangming Zhu Yitao Zheng Yunbo Wang Xiaokang Yang 26 0 0 27 Mar 2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting Nicolai Dorka Tim Welschehold Wolfram Burgard 16 3 0 17 Mar 2023
Beware of Instantaneous Dependence in Reinforcement Learning Zhengmao Zhu Yu-Ren Liu Hong Tian Yang Yu Kun Zhang OffRL 36 1 0 09 Mar 2023
Language-Driven Representation Learning for Robotics Siddharth Karamcheti Suraj Nair Annie S. Chen Thomas Kollar Chelsea Finn Dorsa Sadigh Percy Liang LM&Ro SSL 47 145 0 24 Feb 2023
Neural Laplace Control for Continuous-time Delayed Systems Samuel Holt Alihan Huyuk Zhaozhi Qian Hao Sun M. Schaar OffRL 29 10 0 24 Feb 2023
Stochastic Generative Flow Networks L. Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio BDL 47 30 0 19 Feb 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 41 9 0 14 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 36 20 0 13 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 66 10 0 11 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 19 9 0 08 Feb 2023
DITTO: Offline Imitation Learning with World Models Branton DeMoss Paul Duckworth Nick Hawes Ingmar Posner Ingmar Posner OffRL 21 18 0 06 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 34 3 0 30 Jan 2023
Variational Latent Branching Model for Off-Policy Evaluation Qitong Gao Ge Gao Min Chi Miroslav Pajic OffRL 36 6 0 28 Jan 2023
Neuro-Symbolic World Models for Adapting to Open World Novelty Jonathan C. Balloch Zhiyu Lin Robert Wright Xiangyu Peng Mustafa Hussain Aarun Srinivas Julia Kim Mark O. Riedl 18 10 0 16 Jan 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 37 55 0 08 Jan 2023
A Succinct Summary of Reinforcement Learning S. Ahilan OffRL 8 0 0 03 Jan 2023
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning Zhao Mandi Homanga Bharadhwaj Vincent Moens Shuran Song Aravind Rajeswaran Vikash Kumar LM&Ro 28 70 0 12 Dec 2022
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks Altun Rzayev Vahid Tavakol Aghaei OffRL 21 0 0 11 Dec 2022
PRISM: Probabilistic Real-Time Inference in Spatial World Models Atanas Mirchev Baris Kayalibay Ahmed Agha Patrick van der Smagt Daniel Cremers Justin Bayer VGen 31 0 0 06 Dec 2022
Tackling Visual Control via Multi-View Exploration Maximization Mingqi Yuan Xin Jin Bo Li Wenjun Zeng 30 1 0 28 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 29 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 23 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
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 18 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 57 9 0 23 Oct 2022