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Learning Latent Dynamics for Planning from Pixels

12 November 2018

Papers citing "Learning Latent Dynamics for Planning from Pixels"

50 / 994 papers shown

Title
Point Cloud Models Improve Visual Robustness in Robotic Learners Skand Peri Iain Lee Chanho Kim Fuxin Li Tucker Hermans Stefan Lee 3DPC 120 4 0 29 Apr 2024
Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models Xingyuan Zhang Philip Becker-Ehmck Patrick van der Smagt Maximilian Karl OffRL 102 0 0 29 Apr 2024
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability Noga Mudrik Eva Yezerets Yenho Chen Christopher Rozell Adam S. Charles AI4CE 61 4 0 28 Apr 2024
Compete and Compose: Learning Independent Mechanisms for Modular World Models Anson Lei Frederik Nolte Bernhard Schölkopf Ingmar Posner OffRL 63 2 0 23 Apr 2024
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs Lili Wu Ben Evans Riashat Islam Raihan Seraj Yonathan Efroni Alex Lamb 87 1 0 22 Apr 2024
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend Fei Cui Jiaojiao Fang Xiaojiang Wu Zelong Lai Mengke Yang Menghan Jia Guizhong Liu 49 0 0 17 Apr 2024
Continuous Control Reinforcement Learning: Distributed Distributional DrQ Algorithms Zehao Zhou OffRL 31 0 0 16 Apr 2024
Hindsight PRIORs for Reward Learning from Human Preferences Mudit Verma Katherine Metcalf 86 6 0 12 Apr 2024
LaPlaSS: Latent Space Planning for Stochastic Systems Marlyse Reeves Brian C. Williams 55 0 0 10 Apr 2024
Action-conditioned video data improves predictability Meenakshi Sarkar Debasish Ghose VGen 92 0 0 08 Apr 2024
Future Predictive Success-or-Failure Classification for Long-Horizon Robotic Tasks Naoya Sogi Hiroyuki Oyama Takashi Shibata Makoto Terao 72 0 0 04 Apr 2024
SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring Kaichen Huang Minghao Shao Shenghua Wan Hai-Hang Sun Shuai Feng Le Gan De-Chuan Zhan 71 0 0 04 Apr 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 75 3 0 03 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 80 0 0 31 Mar 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods Yuji Cao Huan Zhao Yuheng Cheng Ting Shu Guolong Liu Gaoqi Liang Junhua Zhao Yun Li LLMAG KELM OffRL LM&Ro 119 69 0 30 Mar 2024
Neighbor-Environment Observer: An Intelligent Agent for Immersive Working Companionship Zhe Sun Qixuan Liang Meng Wang Zhenliang Zhang 45 4 0 27 Mar 2024
Reinforcement Learning from Delayed Observations via World Models Armin Karamzade Kyungmin Kim Montek Kalsi Roy Fox 103 8 0 18 Mar 2024
Multistep Inverse Is Not All You Need Alexander Levine Peter Stone Amy Zhang AI4CE 106 4 0 18 Mar 2024
Leveraging Simulation-Based Model Preconditions for Fast Action Parameter Optimization with Multiple Models M. Yunus Seker Oliver Kroemer AI4CE 63 0 0 17 Mar 2024
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization Sai Prasanna Karim Farid Raghu Rajan André Biedenkapp 117 6 0 16 Mar 2024
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors Yucen Wang Shenghua Wan Le Gan Shuai Feng De-Chuan Zhan VGen 65 6 0 15 Mar 2024
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics Luca Grillotti Maxence Faldor Borja G. León Antoine Cully 98 3 0 15 Mar 2024
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning Zohar Rimon Tom Jurgenson Orr Krupnik Gilad Adler Aviv Tamar 69 10 0 14 Mar 2024
ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos Lei Shi Paul-Christian Bürkner Andreas Bulling DiffM VGen 75 4 0 13 Mar 2024
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning Giorgio Franceschelli Mirco Musolesi AI4CE 85 0 0 12 Mar 2024
Providing Safety Assurances for Systems with Unknown Dynamics Hao Wang Javier Borquez Somil Bansal 58 3 0 09 Mar 2024
Mastering Memory Tasks with World Models Mohammad Reza Samsami Artem Zholus Janarthanan Rajendran Sarath Chandar CLL OffRL 102 28 0 07 Mar 2024
World Models for Autonomous Driving: An Initial Survey Yanchen Guan Haicheng Liao Zhenning Li Jia Hu Runze Yuan Yunjian Li Guohui Zhang Chengzhong Xu 148 42 0 05 Mar 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling Matthew Dowling Yuan Zhao Il Memming Park BDL 55 5 0 03 Mar 2024
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation Noriaki Hirose Dhruv Shah Kyle Stachowicz A. Sridhar Sergey Levine 126 5 0 01 Mar 2024
Navigating Hallucinations for Reasoning of Unintentional Activities Shresth Grover Vibhav Vineet Yogesh S Rawat LRM 83 1 0 29 Feb 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming Hany Hamed Subin Kim Dongyeong Kim Jaesik Yoon Sungjin Ahn 88 4 0 29 Feb 2024
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards Katherine Metcalf Miguel Sarabia Natalie Mackraz B. Theobald 71 6 0 28 Feb 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2) Qifeng Li Xiaosong Jia Shaobo Wang Junchi Yan 121 34 0 26 Feb 2024
DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation Chenchang Li Zihao Ai Tong Wu Xiaosa Li Wenbo Ding Huazhe Xu AI4CE 78 7 0 12 Feb 2024
Auxiliary Reward Generation with Transition Distance Representation Learning Siyuan Li Shijie Han Yingnan Zhao B. Liang Peng Liu OffRL 84 0 0 12 Feb 2024
Improving Token-Based World Models with Parallel Observation Prediction Lior Cohen Kaixin Wang Bingyi Kang Shie Mannor 82 6 0 08 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Yufei Wang Zackory M. Erickson David Held 123 4 0 08 Feb 2024
The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta Wenbo Gong Chao Ma Nick Pawlowski Agrin Hilmkil ... Jianfeng Gao Stefan Bauer Danica Kragic Bernhard Schölkopf Cheng Zhang 79 17 0 06 Feb 2024
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning Zihan Ding Amy Zhang Yuandong Tian Qinqing Zheng OffRL 118 20 0 05 Feb 2024
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning Abdelhakim Benechehab Albert Thomas Balázs Kégl OffRL 59 2 0 05 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 82 2 0 05 Feb 2024
Augmenting Replay in World Models for Continual Reinforcement Learning Luke Yang L. Kuhlmann Gideon Kowadlo VLM KELM CLL OffRL 148 0 0 30 Jan 2024
DiffuserLite: Towards Real-time Diffusion Planning Zibin Dong Jianye Hao Yifu Yuan Fei Ni Yitian Wang Pengyi Li Yan Zheng 172 20 0 27 Jan 2024
TraKDis: A Transformer-based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation Wei Chen Nicolás Rojas 89 7 0 24 Jan 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 105 12 0 22 Jan 2024
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations Zuojin Tang Xiaoyu Chen YongQiang Li Jianyu Chen 100 3 0 22 Jan 2024
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View Raj Ghugare Matthieu Geist Glen Berseth Benjamin Eysenbach OffRL 83 21 0 20 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 92 29 0 17 Jan 2024
CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design Zeji Yi Chaoyi Pan Guanqi He Guannan Qu Guanya Shi 79 10 0 14 Jan 2024