世界模型 - arXivDaily 专题

2302.00171 2023-11-02 cs.RO cs.LG cs.SY eess.SY math.OC 50%

Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach

Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac

专题命中仿真与规划：分类 cs.LG、cs.RO；predictive model(abstract)；predictive models(abstract)

Comments The International Journal of Robotics Research. arXiv admin note: text overlap with arXiv:2202.07720

2309.15079 2023-10-03 cs.RO 50%

Towards High Efficient Long-horizon Planning with Expert-guided Motion-encoding Tree Search

Tong Zhou, Erli Lyu, Jiaole Wang, Guangdu Cen, Ziqi Zha, Senmao Qi, Max Q. -H. Meng

专题命中仿真与规划：model-based reinforcement learning(abstract)；分类 cs.RO

Comments 7 pages, 5 figures

2309.08587 2023-09-22 cs.LG cs.AI cs.RO 50%

Compositional Foundation Models for Hierarchical Planning

Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

Comments Website: https://hierarchical-planning-foundation-model.github.io/

2303.03787 2023-09-12 cs.LG 50%

Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning

Mostafa Kotb, Cornelius Weber, Stefan Wermter

专题命中仿真与规划：model-based reinforcement learning(abstract)；分类 cs.LG

Comments 7 pages, 4 figures

2307.12933 2023-07-25 cs.AI 50%

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning

Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

专题命中仿真与规划：model-based reinforcement learning(abstract)；分类 cs.AI

2306.09608 2023-06-19 cs.RO 50%

Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning

Weizhe Chen, Lantao Liu

专题命中仿真与规划：environment model(abstract)；分类 cs.RO

Comments Accepted to the 58th IEEE Conference on Decision and Control (CDC 2019)

2306.09055 2023-06-16 cs.RO cs.AI cs.LG 50%

Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving

Jayabrata Chowdhury, Vishruth Veerendranath, Suresh Sundaram, Narasimhan Sundararajan

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.RO；predictive model(abstract)

2303.08856 2023-03-17 cs.LG cs.SY eess.SY 50%

On the Benefits of Leveraging Structural Information in Planning Over the Learned Model

Jiajun Shen, Kananart Kuwaranancharoen, Raid Ayoub, Pietro Mercati, Shreyas Sundaram

专题命中仿真与规划：model-based reinforcement learning(abstract)；分类 cs.LG

Comments 9 pages, 5 figures

2302.12617 2023-02-27 cs.RO cs.AI cs.LG 50%

Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains

Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin Riedmiller

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

2302.11950 2023-02-24 cs.CV cs.AI cs.LG 50%

Evaluating the Efficacy of Skincare Product: A Realistic Short-Term Facial Pore Simulation

Ling Li, Bandara Dissanayake, Tatsuya Omotezako, Yunjie Zhong, Qing Zhang, Rizhao Cai, Qian Zheng, Dennis Sng, Weisi Lin, Yufei Wang, Alex C Kot

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.CV；simulation model(abstract)

Comments 6 pages, 7 figures

2208.09966 2022-08-23 cs.LG cs.AI cs.CY 50%

Performance, Opaqueness, Consequences, and Assumptions: Simple questions for responsible planning of machine learning solutions

Przemyslaw Biecek

专题命中仿真与规划：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

2111.11097 2022-06-29 cs.RO cs.AI cs.LG 50%

UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

Christopher Diehl, Timo Sievernich, Martin Krüger, Frank Hoffmann, Torsten Bertram

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

Comments Best Paper Award @ Advances in Neural Information Processing Systems - Machine Learning for Autonomous Driving Workshop (NeurIPS 2021 ML4AD)

2105.10342 2022-02-15 cs.RO 50%

A Reinforcement Learning based Path Planning Approach in 3D Environment

Geesara Kulathunga

专题命中仿真与规划：model-based reinforcement learning(abstract)；分类 cs.RO

2110.14573 2021-10-28 cs.RO 50%

Autonomous Exploration Development Environment and the Planning Algorithms

Chao Cao, Hongbiao Zhu, Fan Yang, Yukun Xia, Howie Choset, Jean Oh, Ji Zhang

专题命中仿真与规划：environment model(abstract)；分类 cs.RO

2110.08028 2021-10-18 cs.LG 50%

Improving Hyperparameter Optimization by Planning Ahead

Hadi S. Jomaa, Jonas Falkner, Lars Schmidt-Thieme

专题命中仿真与规划：model-based reinforcement learning(abstract)；分类 cs.LG

2008.10066 2021-10-07 cs.LG cs.AI cs.RO 50%

Learning Off-Policy with Online Planning

Harshit Sikchi, Wenxuan Zhou, David Held

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

Comments 30 pages, Conference of Robot Learning (CoRL) 2021

2109.06689 2021-09-15 cs.MA cs.AI cs.LG 50%

Reactive and Safe Road User Simulations using Neural Barrier Certificates

Yue Meng, Zengyi Qin, Chuchu Fan

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.MA；simulation model(abstract)

Comments Accepted at IROS 2021

2107.12544 2021-07-28 cs.AI 50%

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

Pedro A. Tsividis, Joao Loula, Jake Burga, Nathan Foss, Andres Campero, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum

专题命中仿真与规划：model-based RL(abstract)；分类 cs.AI

2012.05457 2021-07-19 cs.RO cs.AI cs.LG cs.SY eess.SY 50%

Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions

Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

Comments Accepted by IEEE Transactions on Robotics (T-RO), 2021. Video is available at https://youtu.be/Y02juH6BDxo

2011.08424 2021-06-24 cs.RO 50%

Deep Affordance Foresight: Planning Through What Can Be Done in the Future

Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei

专题命中仿真与规划：environment model(abstract)；分类 cs.RO

Comments ICRA 2021

2012.03548 2021-06-17 cs.LG cs.AI cs.RO 50%

Reset-Free Lifelong Learning with Skill-Space Planning

Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

Comments In the proceedings of the 7th International Conference on Learning Representations (ICLR), Virtual, April 2021

2104.08203 2021-04-19 cs.LG cs.AI cs.MA 50%

Why Machine Learning Integrated Patient Flow Simulation?

Tesfamariam M. Abuhay, Adane Mamuye, Stewart Robinson, Sergey V. Kovalchuk

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.MA；simulation model(abstract)

Comments Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21)

Journal ref Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21)

2104.06294 2021-04-14 cs.LG 50%

Online and Offline Reinforcement Learning by Planning with a Learned Model

Julian Schrittwieser, Thomas Hubert, Amol Mandhane, Mohammadamin Barekatain, Ioannis Antonoglou, David Silver

专题命中仿真与规划：model-based reinforcement learning(abstract)；分类 cs.LG

2011.11600 2020-11-24 cs.AI cs.CV cs.LG 50%

Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos

Vitor Fortes Rey, Kamalveer Kaur Garewal, Paul Lukowicz

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.CV；simulation model(abstract)

2011.11190 2020-11-24 cs.CV cs.RO 50%

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo Nebot

专题命中仿真与规划：分类 cs.CV、cs.RO；predictive model(abstract)；predictive models(abstract)

Comments 8 pages, 5 figures, submitted to ICRA 2021

2010.15891 2020-11-02 cs.LG cs.CV 50%

Multi-agent Trajectory Prediction with Fuzzy Query Attention

Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu

专题命中仿真与规划：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

Comments NeurIPS 2020 Camera-ready version. Code: https://github.com/nitinkamra1992/FQA

1904.05869 2020-05-11 cs.LG cs.CV stat.ML 50%

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning

Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph Lim, Andrew Jaegle

专题命中仿真与规划：分类 cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

Comments Conference on Learning for Dynamics and Control, 2020. Website: https://sites.google.com/view/keyin/home

1910.13369 2020-04-07 cs.RO cs.LG cs.SY eess.SY 50%

A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning

Somil Bansal, Andrea Bajcsy, Ellis Ratner, Anca D. Dragan, Claire J. Tomlin

专题命中仿真与规划：分类 cs.LG、cs.RO；predictive model(abstract)；predictive models(abstract)

1910.04729 2019-10-11 cs.LG cs.AI cs.RO stat.ML 50%

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space

Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter

专题命中仿真与规划：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)

Comments In: Proceedings of the Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), Oslo, Norway, Aug. 19-22, 2019

1810.13001 2018-11-01 cs.RO 50%

Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving

Omer Sahin Tas, Christoph Stiller

专题命中仿真与规划：environment model(abstract)；分类 cs.RO

Journal ref In Proceedings of the IEEE Intelligent Vehicles Symposium (IV), Changshu-Suzhou China, 26-30 June 2018, pp. 1171--1178

1. 仿真与规划 323 篇

Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach

Towards High Efficient Long-horizon Planning with Expert-guided Motion-encoding Tree Search

Compositional Foundation Models for Hierarchical Planning

Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning

Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning

Predictive Maneuver Planning with Deep Reinforcement Learning (PMP-DRL) for comfortable and safe autonomous driving

On the Benefits of Leveraging Structural Information in Planning Over the Learned Model

Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains

Evaluating the Efficacy of Skincare Product: A Realistic Short-Term Facial Pore Simulation

Performance, Opaqueness, Consequences, and Assumptions: Simple questions for responsible planning of machine learning solutions

UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

A Reinforcement Learning based Path Planning Approach in 3D Environment

Autonomous Exploration Development Environment and the Planning Algorithms

Improving Hyperparameter Optimization by Planning Ahead

Learning Off-Policy with Online Planning

Reactive and Safe Road User Simulations using Neural Barrier Certificates

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning

Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions

Deep Affordance Foresight: Planning Through What Can Be Done in the Future

Reset-Free Lifelong Learning with Skill-Space Planning

Why Machine Learning Integrated Patient Flow Simulation?

Online and Offline Reinforcement Learning by Planning with a Learned Model

Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

Multi-agent Trajectory Prediction with Fuzzy Query Attention

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning

A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space

Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving