AI Agent

Multi-step Planning for Automated Hyperparameter Optimization with OptFormer

Lucio M. Dery, Abram L. Friesen, Nando De Freitas, Marc'Aurelio Ranzato, Yutian Chen

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

Comments 8 pages, 7 figures

A Survey on the Integration of Machine Learning with Sampling-based Motion Planning

Troy McMahon, Aravind Sivaramakrishnan, Edgar Granados, Kostas E. Bekris

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

Comments First two authors contributed equally

Journal ref Foundations and Trends in Robotics: Vol. 9: No. 4, pp 266-327 (2022)

Confident Approximate Policy Iteration for Efficient Local Planning in $q^π$-realizable MDPs

Gellért Weisz, András György, Tadashi Kozuno, Csaba Szepesvári

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

PlanT: Explainable Planning Transformers via Object-Level Representations

Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger

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

Comments CoRL 2022. Project Page: https://www.katrinrenz.de/plant/

NGEP: A Graph-based Event Planning Framework for Story Generation

Chen Tang, Zhihao Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin

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

Journal ref AACL 2022

Planning for Sample Efficient Imitation Learning

Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao

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

Comments NeurIPS 2022

Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent

W. Zai El Amri, L. Hermes, M. Schilling

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

Comments Conference paper (LOD 2022), 15 pages, 8 figures, 4 tables

Planning Assembly Sequence with Graph Transformer

Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou

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

Comments Submitted to ICRA2023

Imitative Planning using Conditional Normalizing Flow

Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson, Shivam Gautam

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

Learning Neuro-Symbolic Skills for Bilevel Planning

Tom Silver, Ashay Athalye, Joshua B. 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 CoRL 2022

Institutional Foundations of Adaptive Planning: Exploration of Flood Planning in the Lower Rio Grande Valley, Texas, USA

Ashley D. Ross, Ali Nejat, Virgie Greb

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

Toward Discovering Options that Achieve Faster Planning

Yi Wan, Richard S. Sutton

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

Robot Active Neural Sensing and Planning in Unknown Cluttered Environments

Hanwen Ren, Ahmed H. Qureshi

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

Comments https://sites.google.com/view/active-neural-sensing/home

Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory

Glen Chou, Necmiye Ozay, Dmitry Berenson

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

Comments Workshop on the Algorithmic Foundations of Robotics (WAFR) XV, 2022, College Park, MD, USA

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

Przemyslaw Biecek

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

TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs

Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti

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

Comments Video: https://www.youtube.com/watch?v=mM4v5hP4LdA&ab_channel=KrishnaMurthy . Project page: https://taskography.github.io/ . 18 pages, 7 figures. In proceedings of Conference on Robot Learning (CoRL) 2021. The first two authors contributed equally

Journal ref PMLR 164 (2022) 46-58

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning

Rohan Chitnis, Tom Silver, Joshua B. 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 IROS 2022 final version

RetroGraph: Retrosynthetic Planning with Graph Search

Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin

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

Comments KDD2022

Classical Planning in Deep Latent Space

Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise

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

Comments Accepted in Journal of Artificial Intelligence Research (JAIR)

PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning

Guillaume Matheron, Nicolas Perrin, Olivier Sigaud

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

Deep Hierarchical Planning from Pixels

Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel

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

Comments Website: https://danijar.com/director

Learning to Accelerate by the Methods of Step-size Planning

Hengshuai Yao

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

"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs

Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng

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

Comments IJCAI 2022 long oral presentation

Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning

Naman Shah, Siddharth Srivastava

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

Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning

Carl Qi, Pieter Abbeel, Aditya Grover

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

Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning

Ugo Lecerf, Christelle Yemdji-Tchassi, Pietro Michiardi

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

Comments To appear in Generalizable Policy Learning in the Physical World workshop (ICLR 2022)

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