大模型推理能力 - arXivDaily 专题

2012.14464 2021-01-01 cs.RO cs.AI 79%

Disentangled Planning and Control in Vision Based Robotics via Reward Machines

Alberto Camacho, Jacob Varley, Deepali Jain, Atil Iscen, Dmitry Kalashnikov

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments Accepted to the Deep Reinforcement Learning Workshop at Neural Information Processing Systems (2020)

2012.13037 2020-12-25 cs.AI 79%

SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning

Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments Accepted to AAMAS 2021

2011.13098 2020-11-30 cs.RO cs.AI cs.SY eess.SY 79%

An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

Majid Moghadam, Ali Alizadeh, Engin Tekin, Gabriel Hugh Elkaim

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments submitted to International Conference on Robotics and Automation (ICRA 2021)

2011.03590 2020-11-30 cs.RO cs.LG cs.SY eess.SY 79%

Reactive motion planning with probabilistic safety guarantees

Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron D. Ames, Richard Murray

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments In the Conference on Robotic Learning 2020

2011.09034 2020-11-19 cs.AI cs.RO 79%

Domain Concretization from Examples: Addressing Missing Domain Knowledge via Robust Planning

Akshay Sharma, Piyush Rajesh Medikeri, Yu Zhang

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2009.14259 2020-10-28 cs.CL cs.CV 79%

Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions

Peter A. Jansen

专题命中规划推理：planning(title,abstract)；分类 cs.CL

Comments Accepted to Findings of EMNLP. V2: corrected typo Table 1; margins Table 3

2006.07532 2020-10-27 cs.AI 79%

Online Bayesian Goal Inference for Boundedly-Rational Planning Agents

Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Joshua B. Tenenbaum, Vikash K. Mansinghka

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments Accepted to NeurIPS 2020. 10 pages (excl. references), 6 figures/tables. (Supplement: 8 pages, 11 figures/tables). Code available at: https://github.com/ztangent/Plinf.jl

2004.07822 2020-10-20 cs.AI 79%

Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming

Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma, Ze Gong, Yu Zhang

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments arXiv admin note: text overlap with arXiv:1902.00604

2010.05141 2020-10-13 cs.CL 79%

Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task

Dongyeop Kang, Eduard Hovy

专题命中规划推理：planning(title,abstract)；分类 cs.CL

Comments EMNLP 2020

2010.02744 2020-10-07 cs.CL 79%

Stepwise Extractive Summarization and Planning with Structured Transformers

Shashi Narayan, Joshua Maynez, Jakub Adamek, Daniele Pighin, Blaž Bratanič, Ryan McDonald

专题命中规划推理：planning(title,abstract)；分类 cs.CL

Comments 17 pages, EMNLP 2020

2010.01899 2020-10-06 cs.CL 79%

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph

Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong, Suhui Wu

专题命中规划推理：reasoning(title,abstract)；分类 cs.CL

2009.10253 2020-09-23 cs.AI 79%

Constraint Programming Algorithms for Route Planning Exploiting Geometrical Information

Alessandro Bertagnon

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments In Proceedings ICLP 2020, arXiv:2009.09158

Journal ref EPTCS 325, 2020, pp. 286-295

2008.12639 2020-08-31 cs.RO cs.AI 79%

Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution

Saber Elsayed, Hemant Singh, Essam Debie, Anthony Perry, Benjamin Campbell, Robert Hunjet, Hussein Abbass

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2004.12960 2020-08-04 cs.HC cs.AI 79%

Tradeoff-Focused Contrastive Explanation for MDP Planning

Roykrong Sukkerd, Reid Simmons, David Garlan

专题命中规划推理：planning(title,abstract)；分类 cs.AI

1611.00230 2020-07-16 cs.RO cs.AI 79%

Towards Blended Reactive Planning and Acting using Behavior Trees

Michele Colledanchise, Diogo Almeida, Petter Ögren

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Journal ref 2019 International Conference on Robotics and Automation (ICRA)

2007.05655 2020-07-14 cs.CV cs.AI cs.RO 79%

Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation

Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2007.01334 2020-07-06 math.OC cs.AI cs.SY eess.SY 79%

Multi-agent Planning for thermalling gliders using multi level graph-search

Muhammad Aneeq uz Zaman, Aamer Iqbal Bhatti

专题命中规划推理：planning(title,abstract)；分类 cs.AI

1912.01849 2020-07-01 cs.LG stat.ML 79%

A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes

Dominik Linzner, Heinz Koeppl

专题命中规划推理：planning(title,abstract)；分类 cs.LG

2002.03327 2020-06-24 cs.LG stat.ML 79%

Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons

Chen Tessler, Shie Mannor

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments Preprint

2006.08845 2020-06-17 cs.RO cs.AI cs.MA 79%

Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning

Kyle Brown, Oriana Peltzer, Martin A. Sehr, Mac Schwager, Mykel J. Kochenderfer

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments Presented at International Conference on Robotics and Automation (ICRA) 2020

Journal ref International Conference on Robotics and Automation (ICRA) 2020

2005.12968 2020-05-28 cs.LG stat.ML 79%

Towards intervention-centric causal reasoning in learning agents

Benjamin Lansdell

专题命中规划推理：reasoning(title,abstract)；分类 cs.LG

Comments 11 page, 4 figures. Presented at ICLR 2020 workshop 'Causal learning for decision making'

2005.03770 2020-05-11 cs.LG cs.CV stat.ML 79%

Planning from Images with Deep Latent Gaussian Process Dynamics

Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Comments Accepted for publication at the 2nd Annual Conference on Learning for Dynamics and Control (L4DC) 2020, with supplementary material. First two authors contributed equally

1912.02945 2020-04-24 cs.LG cs.MA cs.RO stat.ML 79%

A pedestrian path-planning model in accordance with obstacle's danger with reinforcement learning

Thanh-Trung Trinh, Dinh-Minh Vu, Masaomi Kimura

专题命中规划推理：planning(title,abstract)；分类 cs.LG

2004.10119 2020-04-22 cs.AI cs.CY q-fin.GN 79%

COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning

Luigi Bellomarini, Marco Benedetti, Andrea Gentili, Rosario Laurendi, Davide Magnanimi, Antonio Muci, Emanuel Sallinger

专题命中规划推理：reasoning(title,abstract)；分类 cs.AI

1810.08159 2020-04-07 cs.AI 79%

Planning in Stochastic Environments with Goal Uncertainty

Sandhya Saisubramanian, Kyle Hollins Wray, Luis Pineda, Shlomo Zilberstein

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments 6 pages, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019

Journal ref 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 1649-1654

2004.00568 2020-04-02 cs.LG stat.ML 79%

One-shot path planning for multi-agent systems using fully convolutional neural network

Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke, Minija Tamosiunaite, Florentin Wörgötter

专题命中规划推理：planning(title,abstract)；分类 cs.LG

Journal ref The 3rd International Symposium on Swarm Behavior and Bioinspired Robotics (SWARM 2019), November 20-22, Okinawa, Japan

2003.12353 2020-03-30 cs.AI q-bio.NC 79%

Planning with Brain-inspired AI

Naoya Arakawa

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2002.11697 2020-02-27 cs.AI cs.HC 79%

The Emerging Landscape of Explainable AI Planning and Decision Making

Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati

专题命中规划推理：planning(title,abstract)；分类 cs.AI

2002.10917 2020-02-26 quant-ph cs.AI cs.ET 79%

Planning for Compilation of a Quantum Algorithm for Graph Coloring

Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Rieffel, Jeremy Frank

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments 8 pages, 4 tables, 5 figures

Journal ref The 24th European Conference on Artificial Intelligence (ECAI 2020)

1909.05546 2020-02-21 cs.AI 79%

Learning First-Order Symbolic Representations for Planning from the Structure of the State Space

Blai Bonet, Hector Geffner

专题命中规划推理：planning(title,abstract)；分类 cs.AI

Comments Proc. ECAI-2020

1. 规划推理 11076 篇

Disentangled Planning and Control in Vision Based Robotics via Reward Machines

SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning

An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

Reactive motion planning with probabilistic safety guarantees

Domain Concretization from Examples: Addressing Missing Domain Knowledge via Robust Planning

Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions

Online Bayesian Goal Inference for Boundedly-Rational Planning Agents

Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming

Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task

Stepwise Extractive Summarization and Planning with Structured Transformers

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph

Constraint Programming Algorithms for Route Planning Exploiting Geometrical Information

Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution

Tradeoff-Focused Contrastive Explanation for MDP Planning

Towards Blended Reactive Planning and Acting using Behavior Trees

Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation

Multi-agent Planning for thermalling gliders using multi level graph-search

A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes

Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons

Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning

Towards intervention-centric causal reasoning in learning agents

Planning from Images with Deep Latent Gaussian Process Dynamics

A pedestrian path-planning model in accordance with obstacle's danger with reinforcement learning

COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning

Planning in Stochastic Environments with Goal Uncertainty

One-shot path planning for multi-agent systems using fully convolutional neural network

Planning with Brain-inspired AI

The Emerging Landscape of Explainable AI Planning and Decision Making

Planning for Compilation of a Quantum Algorithm for Graph Coloring

Learning First-Order Symbolic Representations for Planning from the Structure of the State Space