AI Agent - arXivDaily 专题

2201.00411 2022-01-04 cs.CV cs.AI 83%

The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents

Sarah Pratt, Luca Weihs, Ali Farhadi

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

2112.00903 2021-12-03 cs.AI cs.RO 83%

Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum

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

2102.03064 2021-12-03 cs.AI 83%

"I Don't Think So": Summarizing Policy Disagreements for Agent Comparison

Yotam Amitai, Ofra Amir

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

2111.04972 2021-11-10 cs.LG 83%

Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning

Stefan Radic Webster, Peter Flach

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

Comments Safe RL Workshop NeurIPS 2021

2110.00898 2021-10-05 cs.AI 83%

A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances

Dieqiao Feng, Carla P. Gomes, Bart Selman

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

2106.08826 2021-10-01 math.OC cs.AI 83%

A discrete optimisation approach for target path planning whilst evading sensors

J. E. Beasley

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

2109.14325 2021-09-30 cs.RO cs.AI 83%

Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning

Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha

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

2109.13978 2021-09-30 cs.AI 83%

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations

Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T Shureih, Roli Khanna, Minsuk Kahng, Alan Fern

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

2109.00449 2021-09-08 cs.AI 83%

Planning from video game descriptions

Ignacio Vellido, Carlos Núñez-Molina, Vladislav Nikolov, Juan Fdez-Olivares

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

Comments To be submitted to the Knowledge Engineering Review (KER) journal

2105.00525 2021-09-07 cs.AI 83%

Planning for Proactive Assistance in Environments with Partial Observability

Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati

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

2108.11945 2021-08-27 cs.RO cs.CL cs.CV 83%

SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments

Muhammad Zubair Irshad, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar

专题命中规划决策：agent(title,abstract)；autonomous agent(abstract)；分类 cs.CL

Comments 10 pages, 4 figures

2107.04303 2021-08-11 cs.AI 83%

Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver

Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati

专题命中规划决策：planning(title)；agent(abstract)；multi-agent(abstract)；分类 cs.AI

2005.09611 2021-07-29 cs.RO cs.AI cs.IT math.IT 83%

Information-Theoretic Abstractions for Planning in Agents with Computational Constraints

Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras

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

Journal ref 2021 IEEE Robotics and Automation Letters (RA-L)

2107.12544 2021-07-28 cs.AI 83%

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

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

2011.06450 2021-07-23 cs.AI cs.CV 83%

A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments

Manish Bhattarai, Manel Martinez-Ramon

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

Comments Accepted to ICAART2021

2105.04088 2021-05-11 cs.AI 83%

PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning

Hanqing Wang, Zan Wang, Wei Liang, Lap-Fai Yu

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

Comments 7 pages, 4 figures

2104.07276 2021-04-16 cs.AI 83%

Adaptive Belief Discretization for POMDP Planning

Divya Grover, Christos Dimitrakakis

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

2103.10642 2021-04-12 cs.AI cs.RO 83%

Knowledge-Based Hierarchical POMDPs for Task Planning

Sergio A. Serrano, Elizabeth Santiago, Jose Martinez-Carranza, Eduardo Morales, L. Enrique Sucar

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

Journal ref Journal of Intelligent & Robotic Systems 101 (2021) 1-30

2011.08345 2021-04-07 cs.LG cs.RO 83%

Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning

Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi

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

Comments ICRA 2021, the first two authors contributed equally

2103.14489 2021-03-29 cs.AI cs.FL cs.SY eess.SY 83%

Probabilistic Planning with Preferences over Temporal Goals

Jie Fu

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

Comments 6 pages, 8 figures, Accepted by American Control Conference (ACC) 2021

2103.01171 2021-03-26 cs.AI 83%

Expected Value of Communication for Planning in Ad Hoc Teamwork

William Macke, Reuth Mirsky, Peter Stone

专题命中规划决策：planning(title,abstract)；autonomous agent(abstract)；分类 cs.AI

Comments 10 pages, 6 figure, Published at AAAI 2021

2102.07185 2021-02-16 cs.MA cs.AI 83%

Partial Disclosure of Private Dependencies in Privacy Preserving Planning

Rotem Lev Lehman, Guy Shani, Roni Stern

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

2102.06284 2021-02-15 cs.RO cs.LG 83%

Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients

Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro

专题命中规划决策：planning(title)；agent(abstract)；multi-agent(abstract)；分类 cs.LG

Comments arXiv admin note: substantial text overlap with arXiv:1909.10704

1911.12976 2021-02-09 cs.LG cs.SY eess.SY math.OC stat.ML 83%

Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation

Melkior Ornik, Ufuk Topcu

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

Comments To be published in Journal of Machine Learning Research

2102.00834 2021-02-02 cs.AI 83%

Counterfactual Planning in AGI Systems

Koen Holtman

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

2007.00544 2021-01-28 cs.LG cs.IT cs.RO eess.SP math.IT stat.ML 83%

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert

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

Comments Code available under https://github.com/hbayerlein/uav_data_harvesting, IEEE Global Communications Conference (GLOBECOM) 2020

2009.07517 2021-01-15 cs.RO cs.HC cs.LG cs.SY eess.SY 83%

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone

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

Comments 14 pages, 6 figures, 1 table. All code, models, and data can be found at https://github.com/StanfordASL/MATS . Conference on Robot Learning (CoRL) 2020

2012.14464 2021-01-01 cs.RO cs.AI 83%

Disentangled Planning and Control in Vision Based Robotics via Reward Machines

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

专题命中规划决策：planning(title,abstract)；agent(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 83%

SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning

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

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

Comments Accepted to AAMAS 2021

2011.13098 2020-11-30 cs.RO cs.AI cs.SY eess.SY 83%

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

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

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

1. 规划决策 35686 篇

The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents

Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics

"I Don't Think So": Summarizing Policy Disagreements for Agent Comparison

Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning

A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances

A discrete optimisation approach for target path planning whilst evading sensors

Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations

Planning from video game descriptions

Planning for Proactive Assistance in Environments with Partial Observability

SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments

Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver

Information-Theoretic Abstractions for Planning in Agents with Computational Constraints

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

A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments

PEARL: Parallelized Expert-Assisted Reinforcement Learning for Scene Rearrangement Planning

Adaptive Belief Discretization for POMDP Planning

Knowledge-Based Hierarchical POMDPs for Task Planning

Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning

Probabilistic Planning with Preferences over Temporal Goals

Expected Value of Communication for Planning in Ad Hoc Teamwork

Partial Disclosure of Private Dependencies in Privacy Preserving Planning

Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients

Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation

Counterfactual Planning in AGI Systems

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

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