AI Agent

Model-Based Visual Planning with Self-Supervised Functional Distances

Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis

Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Başar

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments NeurIPS 2020

Graph Neural Networks for Motion Planning

Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar, Anthony G. Francis

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Cost-to-Go Function Generating Networks for High Dimensional Motion Planning

Jinwook Huh, Volkan Isler, Daniel D. Lee

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua Tenenbaum, Tomas Lozano-Perez, Leslie Pack Kaelbling

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments AAAI 2021

Planning from Pixels using Inverse Dynamics Models

Keiran Paster, Sheila A. McIlraith, Jimmy Ba

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments 9 pages, 4 figures

Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors

Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments Project page: orybkin.github.io/video-gcp. KP and OR contributed equally

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation

Sirui Xie, Feng Gao, Song-Chun Zhu

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Sparse Graphical Memory for Robust Planning

Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted at NeurIPS 2020. Video and code at https://mishalaskin.github.io/sgm/

LBGP: Learning Based Goal Planning for Autonomous Following in Front

Payam Nikdel, Richard Vaughan, Mo Chen

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Deep Reactive Planning in Dynamic Environments

Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments 15 pages, 5 figures. Accepted at CoRL 2020

Planning with Submodular Objective Functions

Ruosong Wang, Hanrui Zhang, Devendra Singh Chaplot, Denis Garagić, Ruslan Salakhutdinov

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning

Rushang Karia, Siddharth Srivastava

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments Submitted to AAAI-21

Bridging the gap between Markowitz planning and deep reinforcement learning

Eric Benhamou, David Saltiel, Sandrine Ungari, Abhishek Mukhopadhyay

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments 10 pages, ICAPS PRL. arXiv admin note: substantial text overlap with arXiv:2009.14136, arXiv:2010.08497

CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models

Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Content Planning for Neural Story Generation with Aristotelian Rescoring

Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, Nanyun Peng

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.CL

Comments EMNLP 2020, 9 pages

Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks

Chuanzheng Wang, Yinan Li, Stephen L. Smith, Jun Liu

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving

Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Xing Li, Stefan Roth

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments To appear in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, France, June 2020 (Virtual Conference). Accepted version. Corrected figure font

Journal ref IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 6419-6425

Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning

Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments 8 pages, 4 figures

Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving

Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Stefan Roth

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments Appeared at IROS 2019. Accepted version. Added/updated footnote, minor correction in preliminaries

Journal ref 2019 IEEE/RSJ Int. Conf. on Intelligent Robots and Syst. (IROS), Macau, China, 2019, pp. 2658-2665

Federated Learning for Cellular-connected UAVs: Radio Mapping and Path Planning

Behzad Khamidehi, Elvino S. Sousa

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments to appear in IEEE GLOBECOM 2020

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments European Conference on Computer Vision (ECCV) 2020

Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)

Masataro Asai, Christian Muise

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted in IJCAI 2020 main track (accept ratio 12.6%). The prequel of this paper, "The Search for STRIPS", can be found here: arXiv:1912.05492 . (update, 2020/08/11) We expanded the related work section

Neural Manipulation Planning on Constraint Manifolds

Ahmed H. Qureshi, Jiangeng Dong, Austin Choe, Michael C. Yip

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments This is the preprint version of the paper published at IEEE Robotics and Automation Letters 2020

Journal ref in IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6089-6096, Oct. 2020

Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model

Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Pablo Barros, Sergio Murilo Maciel Fernandes, Bruno J. T. Fernandes

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Planning with Expectation Models

Yi Wan, Zaheer Abbas, Adam White, Martha White, Richard S. Sutton

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Resource-rational Task Decomposition to Minimize Planning Costs

Carlos G. Correa, Mark K. Ho, Fred Callaway, Thomas L. Griffiths

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments The first two authors contributed equally. To appear in Proceedings of the 42nd Annual Conference of the Cognitive Science Society (CogSci 2020)

Hyper-local sustainable assortment planning

Nupur Aggarwal, Abhishek Bansal, Kushagra Manglik, Kedar Kulkarni, Vikas Raykar

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Learning the Solution Manifold in Optimization and Its Application in Motion Planning

Takayuki Osa

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Scalable Planning with Deep Neural Network Learned Transition Models

Ga Wu, Buser Say, Scott Sanner

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.LG

Comments 36 pages