AI Agent - arXivDaily 专题

1808.00720 2018-09-17 cs.IR cs.LG 57%

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

David Rohde, Stephen Bonner, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments Accepted at the REVEAL workshop at the Twelfth ACM Conference on Recommender Systems (RecSys '18), October 2--7, 2018, Vancouver, BC, Canada

1809.03889 2018-09-12 cs.SE cs.LO 57%

Effortless Fault Localisation: Conformance Testing of Real-Time Systems in Ecdar

Tobias R. Gundersen, Florian Lorber, Ulrik Nyman, Christian Ovesen

专题命中工具调用：tool use(abstract)；分类 cs.SE

Comments In Proceedings GandALF 2018, arXiv:1809.02416

Journal ref EPTCS 277, 2018, pp. 147-160

1806.03529 2018-09-11 cs.CL cs.IR 57%

Learning to Search in Long Documents Using Document Structure

Mor Geva, Jonathan Berant

专题命中工具调用：agent(abstract)；分类 cs.CL

Comments COLING 2018 (camera ready version); v2: added acknowledgments

1808.08023 2018-08-27 cs.IR cs.LG stat.ML 57%

A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations

Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao

专题命中工具调用：planning(abstract)；分类 cs.LG

1807.10876 2018-07-31 cs.LG stat.ML 57%

Transportation Modes Classification Using Feature Engineering

Mohammad Etemad

专题命中工具调用：planning(abstract)；分类 cs.LG

1805.08195 2018-05-23 cs.GT cs.AI cs.MA 57%

Depth-Limited Solving for Imperfect-Information Games

Noam Brown, Tuomas Sandholm, Brandon Amos

专题命中工具调用：agent(abstract)；分类 cs.AI

1805.00728 2018-05-03 cs.AI cs.NE 57%

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam Smith, Sebastian Risi

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 8 pages, GECCO2018

1711.05869 2018-05-01 stat.ML cs.LG math.ST stat.ME stat.TH 57%

Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling

Samuel Burkart, Franz J Király

专题命中工具调用：workflow(abstract)；分类 cs.LG

1804.04946 2018-04-16 cs.HC cs.AI cs.IR 57%

Affective Recommendation System for Tourists by Using Emotion Generating Calculations

Takumi Ichimura, Issei Tachibana

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 6 pages, 10 figures. arXiv admin note: substantial text overlap with arXiv:1804.02657 and arXiv:1804.03994

Journal ref Proc. of IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA2014)

1803.04926 2018-03-28 cs.LG stat.ML 57%

Active Reinforcement Learning with Monte-Carlo Tree Search

Sebastian Schulze, Owain Evans

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments 11 pages, 10 figures

1803.06422 2018-03-20 cs.AI 57%

A New Result on the Complexity of Heuristic Estimates for the A* Algorithm

Othar Hansson, Andrew Mayer, Marco Valtorta

专题命中工具调用：planning(abstract)；分类 cs.AI

Journal ref Artificial Intelligence, 55, 1 (May 1992), 129-143

1803.03642 2018-03-13 cs.RO cs.LG 57%

Deep Auxiliary Learning for Visual Localization and Odometry

Abhinav Valada, Noha Radwan, Wolfram Burgard

专题命中工具调用：planning(abstract)；分类 cs.LG

Comments Accepted for ICRA 2018

1801.08116 2018-02-06 cs.AI cs.NE q-bio.NC 57%

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents

Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran, David Amos, Charles Beattie, Keith Anderson, Antonio García Castañeda, Manuel Sanchez, Simon Green, Audrunas Gruslys, Shane Legg, Demis Hassabis, Matthew M. Botvinick

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments 28 pages, 11 figures

1708.02917 2018-01-17 cond-mat.dis-nn cond-mat.stat-mech cs.LG 57%

Spectral Dynamics of Learning Restricted Boltzmann Machines

Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner

专题命中工具调用：tool use(abstract)；分类 cs.LG

Journal ref EPL 119 (2017) 60001

1712.03049 2017-12-11 cs.LG 57%

Artificial Neural Networks that Learn to Satisfy Logic Constraints

Gadi Pinkas, Shimon Cohen

专题命中工具调用：planning(abstract)；分类 cs.LG

1711.05105 2017-11-15 cs.AI 57%

An Empirical Study of the Effects of Spurious Transitions on Abstraction-based Heuristics

Mehdi Sadeqi, Robert C. Holte, Sandra Zilles

专题命中工具调用：planning(abstract)；分类 cs.AI

Comments 38 pages, 9 figures, appendix with 5 figures

1711.01596 2017-11-07 cs.DS cs.LG 57%

Is Input Sparsity Time Possible for Kernel Low-Rank Approximation?

Cameron Musco, David P. Woodruff

专题命中工具调用：tool use(abstract)；分类 cs.LG

Comments To appear, NIPS 2017

1709.03480 2017-09-12 cs.AI 57%

Combining Strategic Learning and Tactical Search in Real-Time Strategy Games

Nicolas A. Barriga, Marius Stanescu, Michael Buro

专题命中工具调用：planning(abstract)；分类 cs.AI

1709.01991 2017-09-08 cs.IR cs.CL 57%

Semi-Automatic Terminology Ontology Learning Based on Topic Modeling

Monika Rani, Amit Kumar Dhar, O. P. Vyas

专题命中工具调用：agent(abstract)；分类 cs.CL

1706.09367 2017-06-29 stat.ML cs.LG 57%

autoBagging: Learning to Rank Bagging Workflows with Metalearning

Fábio Pinto, Vítor Cerqueira, Carlos Soares, João Mendes-Moreira

专题命中工具调用：workflow(abstract)；分类 cs.LG

1703.03916 2017-06-08 cs.AI 57%

Axioms in Model-based Planners

Shuwa Miura, Alex Fukunaga

专题命中工具调用：planning(abstract)；分类 cs.AI

1705.09605 2017-05-29 cs.LG stat.ML 57%

Combinatorial Multi-Armed Bandits with Filtered Feedback

James A. Grant, David S. Leslie, Kevin Glazebrook, Roberto Szechtman

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments 16 pages

1705.01080 2017-05-03 cs.AI 57%

The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement

Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez-Liebana, Simon M. Lucas

专题命中工具调用：AI agent(abstract)；分类 cs.AI

Comments 8 pages, 9 figure, 2 tables, CEC2017

1704.07706 2017-04-26 cs.LG 57%

Automatic Anomaly Detection in the Cloud Via Statistical Learning

Jordan Hochenbaum, Owen S. Vallis, Arun Kejariwal

专题命中工具调用：planning(abstract)；分类 cs.LG

Comments 13 pages, 12 figures

1704.07075 2017-04-25 cs.AI 57%

Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing

Raluca D. Gaina, Jialin Liu, Simon M. Lucas, Diego Perez-Liebana

专题命中工具调用：planning(abstract)；分类 cs.AI

Journal ref Applications of Evolutionary Computation, EvoApplications, Lecture Notes in Computer Science, vol. 10199, Springer, Cham., p. 418-434, 2017

1704.07069 2017-04-25 cs.AI 57%

Evaluating and Modelling Hanabi-Playing Agents

Joseph Walton-Rivers, Piers R. Williams, Richard Bartle, Diego Perez-Liebana, Simon M. Lucas

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments Proceedings of the IEEE Conference on Evolutionary Computation (2017)

1703.06513 2017-03-21 cs.LG stat.ML 57%

Bernoulli Rank-$1$ Bandits for Click Feedback

Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen

专题命中工具调用：agent(abstract)；分类 cs.LG

1702.07001 2017-02-24 cs.AI 57%

Theoretical and Experimental Analysis of the Canadian Traveler Problem

Doron Zarchy

专题命中工具调用：agent(abstract)；分类 cs.AI

1608.06007 2016-12-30 cs.SI cs.LG cs.MA 57%

Distributed Probabilistic Bisection Search using Social Learning

Athanasios Tsiligkaridis, Theodoros Tsiligkaridis

专题命中工具调用：agent(abstract)；分类 cs.LG

Comments 5 Pages, Accepted to ICASSP 2017

1606.04345 2016-08-06 cs.AI 57%

Digits that are not: Generating new types through deep neural nets

Akın Kazakçıand Mehdi Cherti, Balázs Kégl

专题命中工具调用：agent(abstract)；分类 cs.AI

Comments preprint ICCC'16, International Conference on Computational Creativity

1. 工具调用 5062 篇

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Effortless Fault Localisation: Conformance Testing of Real-Time Systems in Ecdar

Learning to Search in Long Documents Using Document Structure

A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations

Transportation Modes Classification Using Feature Engineering

Depth-Limited Solving for Imperfect-Information Games

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling

Affective Recommendation System for Tourists by Using Emotion Generating Calculations

Active Reinforcement Learning with Monte-Carlo Tree Search

A New Result on the Complexity of Heuristic Estimates for the A* Algorithm

Deep Auxiliary Learning for Visual Localization and Odometry

Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents

Spectral Dynamics of Learning Restricted Boltzmann Machines

Artificial Neural Networks that Learn to Satisfy Logic Constraints

An Empirical Study of the Effects of Spurious Transitions on Abstraction-based Heuristics

Is Input Sparsity Time Possible for Kernel Low-Rank Approximation?

Combining Strategic Learning and Tactical Search in Real-Time Strategy Games

Semi-Automatic Terminology Ontology Learning Based on Topic Modeling

autoBagging: Learning to Rank Bagging Workflows with Metalearning

Axioms in Model-based Planners

Combinatorial Multi-Armed Bandits with Filtered Feedback

The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement

Automatic Anomaly Detection in the Cloud Via Statistical Learning

Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing

Evaluating and Modelling Hanabi-Playing Agents

Bernoulli Rank-$1$ Bandits for Click Feedback

Theoretical and Experimental Analysis of the Canadian Traveler Problem

Distributed Probabilistic Bisection Search using Social Learning

Digits that are not: Generating new types through deep neural nets