AI Agent - arXivDaily 专题

2102.04209 2021-02-09 cs.CY cs.AI cs.HC 57%

Guilty Artificial Minds

Michael T. Stuart, Markus Kneer

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments 20 pages, 4 figures, 1 table

2101.08152 2021-02-05 cs.LG 57%

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments Accepted by ICLR 2021

2001.09390 2021-02-02 cs.LG stat.ML 57%

Regime Switching Bandits

Xiang Zhou, Yi Xiong, Ningyuan Chen, Xuefeng Gao

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

2101.09841 2021-01-26 cs.HC cs.CR cs.CY cs.LG 57%

E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study

Leslie Ching Ow Tiong, HeeJeong Jasmine Lee

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

1910.11689 2021-01-26 cs.RO cs.AI 57%

Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning

Michael Everett, Yu Fan Chen, Jonathan P. How

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments arXiv admin note: substantial text overlap with arXiv:1805.01956

2101.08153 2021-01-25 cs.AI 57%

Shielding Atari Games with Bounded Prescience

Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening, Hjalmar Wijk

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments To appear at AAMAS 2021

1706.03661 2021-01-25 cs.AI cs.RO 57%

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self

Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure

专题命中记忆与上下文管理：planning(abstract)；分类 cs.AI

Comments Preprint version; final version available at http://ieeexplore.ieee.org/ IEEE Transactions on Cognitive and Developmental Systems (Accepted) DOI: 10.1109/TCDS.2017.2754143

Journal ref IEEE Transactions on Cognitive and Developmental Systems 10 (4), 1005-1022, 2018

2010.06812 2021-01-19 cs.LG cs.CR 57%

Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability

Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments Preprint for accepted paper at 25th International Conference on Pattern Recognition (ICPR 2020)

1906.08189 2021-01-15 cs.LG stat.ML 57%

Reward Prediction Error as an Exploration Objective in Deep RL

Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, Sebastian Seung, Daniel Lee

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments Published at IJCAI 2020, camera-ready version

2003.04300 2021-01-12 cs.LG stat.ML 57%

Learning Discrete State Abstractions With Deep Variational Inference

Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments 15 pages, 7 figures

2101.02897 2021-01-11 cs.LG cs.GT 57%

Sequential Naive Learning

Itai Arieli, Yakov Babichenko, Manuel Mueller-Frank

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

2011.04709 2021-01-01 cs.LG cs.RO 57%

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Tianwei Ni, Harshit Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments The first four authors have equal contribution (orders determined by dice rolling), and the last two authors have equal advising. The paper is accepted by Conference on Robot Learning (CoRL) 2020. Project videos and code link are available at https://sites.google.com/view/f-irl/home

2007.12904 2020-12-29 cs.AI 57%

Weak Human Preference Supervision For Deep Reinforcement Learning

Zehong Cao, KaiChiu Wong, Chin-Teng Lin

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments Submitting to IEEE Transactions on Neural Networks and Learning Systems

2012.12738 2020-12-24 nlin.AO cs.LG nlin.PS physics.comp-ph stat.ML 57%

Learning emergent PDEs in a learned emergent space

Felix P. Kemeth, Tom Bertalan, Thomas Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

2012.07228 2020-12-15 cs.AI 57%

Trustworthy Preference Completion in Social Choice

Lei Li, Minghe Xue, Huanhuan Chen, Xindong Wu

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

2012.01526 2020-12-04 cs.CV cs.AI cs.RO 57%

From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting

Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments 14 pages, 7 figures (including 2 GIFs)

2011.13467 2020-11-30 cs.AI cs.RO 57%

Episodic Self-Imitation Learning with Hindsight

Tianhong Dai, Hengyan Liu, Anil Anthony Bharath

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

2011.08027 2020-11-19 cs.RO cs.AI 57%

ACDER: Augmented Curiosity-Driven Experience Replay

Boyao Li, Tao Lu, Jiayi Li, Ning Lu, Yinghao Cai, Shuo Wang

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Journal ref 2020 IEEE International Conference on Robotics and Automation (ICRA2020)

2011.06813 2020-11-16 cs.RO cs.CV cs.LG 57%

Learning Object Manipulation Skills via Approximate State Estimation from Real Videos

Vladimír Petrík, Makarand Tapaswi, Ivan Laptev, Josef Sivic

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments CoRL 2020, code at CoRL2020" target="_blank" rel="noopener">https://github.com/makarandtapaswi/Real2Sim_CoRL2020, project page at https://data.ciirc.cvut.cz/public/projects/2020Real2Sim/

2011.04950 2020-11-11 cs.RO cs.AI cs.SY eess.SY 57%

Model-based Reinforcement Learning from Signal Temporal Logic Specifications

Parv Kapoor, Anand Balakrishnan, Jyotirmoy V. Deshmukh

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments Submitted to ICRA 2021

2004.05846 2020-11-10 cs.CV cs.LG cs.RO 57%

SSP: Single Shot Future Trajectory Prediction

Isht Dwivedi, Srikanth Malla, Behzad Dariush, Chiho Choi

专题命中记忆与上下文管理：autonomous agent(abstract)；分类 cs.LG

Comments Accepted at IROS 2020

2011.02573 2020-11-06 cs.AI cs.MA cs.RO 57%

EEGS: A Transparent Model of Emotions

Suman Ojha, Jonathan Vitale, Mary-Anne Williams

专题命中记忆与上下文管理：autonomous agent(abstract)；分类 cs.AI

2011.00697 2020-11-03 cs.LG stat.ML 57%

Time Series Forecasting with Stacked Long Short-Term Memory Networks

Frank Xiao

专题命中记忆与上下文管理：planning(abstract)；分类 cs.LG

Comments 7 pages, 8 figures

2010.12245 2020-10-26 q-fin.TR cs.LG stat.ML 57%

Option Hedging with Risk Averse Reinforcement Learning

Edoardo Vittori, Michele Trapletti, Marcello Restelli

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments Published to ICAIF2020

2010.11983 2020-10-26 quant-ph cs.CC cs.LG 57%

Learnability and Complexity of Quantum Samples

Murphy Yuezhen Niu, Andrew M. Dai, Li Li, Augustus Odena, Zhengli Zhao, Vadim Smelyanskyi, Hartmut Neven, Sergio Boixo

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

2010.08819 2020-10-20 cs.LG cs.SY eess.SY 57%

Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations

Alvaro Cabrejas-Egea, Colm Connaughton

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments 8 pages, conference paper, 3 figures, 1 table

2010.02316 2020-10-07 cs.CL 57%

Sentiment Analysis for Reinforcement Learning

Ameet Deshpande, Eve Fleisig

专题命中记忆与上下文管理：agent(abstract)；分类 cs.CL

Comments Work in progress

1911.06283 2020-10-07 cs.RO cs.CV cs.LG 57%

Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects

Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg

专题命中记忆与上下文管理：planning(abstract)；分类 cs.LG

Comments v3: update acknowledgements

2009.12330 2020-09-28 cs.SE 57%

Synthesis of Infinite-State Systems with Random Behavior

Andreas Katis, Grigory Fedyukovich, Jeffrey Chen, David Greve, Sanjai Rayadurgam, Michael W. Whalen

专题命中记忆与上下文管理：planning(abstract)；分类 cs.SE

Comments 12 pages, 7 figures, The 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020)

2009.10827 2020-09-25 cs.RO cs.LG 57%

Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks

Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou

专题命中记忆与上下文管理：planning(abstract)；分类 cs.LG

Comments 8 pages, 5 figures. To appear at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)

1. 记忆与上下文管理 4793 篇

Guilty Artificial Minds

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

Regime Switching Bandits

E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study

Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning

Shielding Atari Games with Bounded Prescience

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self

Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability

Reward Prediction Error as an Exploration Objective in Deep RL

Learning Discrete State Abstractions With Deep Variational Inference

Sequential Naive Learning

f-IRL: Inverse Reinforcement Learning via State Marginal Matching

Weak Human Preference Supervision For Deep Reinforcement Learning

Learning emergent PDEs in a learned emergent space

Trustworthy Preference Completion in Social Choice

From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting

Episodic Self-Imitation Learning with Hindsight

ACDER: Augmented Curiosity-Driven Experience Replay

Learning Object Manipulation Skills via Approximate State Estimation from Real Videos

Model-based Reinforcement Learning from Signal Temporal Logic Specifications

SSP: Single Shot Future Trajectory Prediction

EEGS: A Transparent Model of Emotions

Time Series Forecasting with Stacked Long Short-Term Memory Networks

Option Hedging with Risk Averse Reinforcement Learning

Learnability and Complexity of Quantum Samples

Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations

Sentiment Analysis for Reinforcement Learning

Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects

Synthesis of Infinite-State Systems with Random Behavior

Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks