AI Agent

Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design

Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris Kitani

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

Comments ICLR 2022 (Oral). Project page: https://sites.google.com/view/transform2act. Code: https://github.com/Khrylx/Transform2Act

Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search

Kevin Osanlou, Andrei Bursuc, Christophe Guettier, Tristan Cazenave, Eric Jacopin

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

Comments Published as a conference paper at IROS 2019

Journal ref 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, pp. 3519-3525

A Unifying Framework for Reinforcement Learning and Planning

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

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

Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs

Siow Meng Low, Akshat Kumar, Scott Sanner

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

Planning Landscape Analysis for Self-Adaptive Systems

Tao Chen

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

Comments The paper has been accepted by the 17th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS'22, 2022

Planning from Pixels in Environments with Combinatorially Hard Search Spaces

Marco Bagatella, Mirek Olšák, Michal Rolínek, Georg Martius

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

Artificial Intelligence Solution for Effective Treatment Planning for Glioblastoma Patients

Vikram Goddla

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

Comments The paper includes cover page, table of contents and references spanning 23 pages overall

TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions

Gellért Weisz, Csaba Szepesvári, András György

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

Representation, learning, and planning algorithms for geometric task and motion planning

Beomjoon Kim, Luke Shimanuki, Leslie Pack Kaelbling, Tomás Lozano-Pérez

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

Journal ref International Journal of Robotics Research 2021

GrASP: Gradient-Based Affordance Selection for Planning

Vivek Veeriah, Zeyu Zheng, Richard Lewis, Satinder Singh

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

Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps

Tobias Huber, Katharina Weitz, Elisabeth André, Ofra Amir

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

Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic

Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, Alessandro Abate, Zhen Kan

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

Comments arXiv admin note: text overlap with arXiv:2010.06797

Journal ref IEEE Robotics and Automation Letters, 2021

Learning Space Partitions for Path Planning

Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian

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

Journal ref NeurIPS 2021

Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains

Christian Gumbsch, Martin V. Butz, Georg Martius

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

Comments Accepted at NeurIPS 2021

Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making

Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski

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

Comments 9 pages, 7 figures

Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture

Tiago Gaspar Oliveira, Arlindo L. Oliveira

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

Have I done enough planning or should I plan more?

Ruiqi He, Yash Raj Jain, Falk Lieder

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

Alpha-Mini: Minichess Agent with Deep Reinforcement Learning

Michael Sun, Robert Tan

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

Guided Imitation of Task and Motion Planning

Michael James McDonald, Dylan Hadfield-Menell

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

Comments 16 pages, 6 figures, 2 tables, submitted to Conference on Robot Learning 2021, to be published in Proceedings of Machine Learning Research

Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning

Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz

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

Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning

Leah Chrestien, Tomas Pevny, Antonin Komenda, Stefan Edelkamp

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

Comments 8 pages plus references

Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions

Constantinos Chamzas, Zachary Kingston, Carlos Quintero-Peña, Anshumali Shrivastava, Lydia E. Kavraki

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

Comments Accepted in International Conference on Robotics and Automation (ICRA), 2021. Nominated for Best Paper in Cognitive Robotics. Supplementary video: https://www.youtube.com/watch?v=cH4_lIjjs58 Code: https://github.com/KavrakiLab/pyre

Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data

Kamil Raczycki, Piotr Szymański

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

Comments Accepted to 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities

Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess

Gregory Clark

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

Comments Accepted to NeurIPS 2021

Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge

Ashish Rana, Avleen Malhi

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

Comments Published in CCCI 2021, Best Paper Award in Informatics

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks

Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez

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

Reinforcement Learning-Based Coverage Path Planning with Implicit Cellular Decomposition

Javad Heydari, Olimpiya Saha, Viswanath Ganapathy

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

Comments 20 pages

Decentralized Motion Planning for Multi-Robot Navigation using Deep Reinforcement Learning

Sivanathan Kandhasamy, Vinayagam Babu Kuppusamy, Tanmay Vilas Samak, Chinmay Vilas Samak

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

Comments Accepted at IEEE International Conference on Intelligent Sustainable Systems (ICISS) 2020

Journal ref 3rd International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi, India, pp. 709-716, 2020

Evaluating model-based planning and planner amortization for continuous control

Arunkumar Byravan, Leonard Hasenclever, Piotr Trochim, Mehdi Mirza, Alessandro Davide Ialongo, Yuval Tassa, Jost Tobias Springenberg, Abbas Abdolmaleki, Nicolas Heess, Josh Merel, Martin Riedmiller

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

Comments 9 pages main text, 30 pages with references and appendix including several ablations and additional experiments. Submitted to ICLR 2022

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning

Sammy Christen, Lukas Jendele, Emre Aksan, Otmar Hilliges

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

Journal ref IEEE Robotics and Automation Letters ( Volume: 6, Issue: 2, April 2021)