AI Agent - arXivDaily 专题

2004.09855 2020-04-23 cs.AI cs.LG 62%

Learning large logic programs by going beyond entailment

Andrew Cropper, Sebastijan Dumančić

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments IJCAI2020 paper

2004.08763 2020-04-21 cs.LG cs.AI cs.RO stat.ML 62%

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

Homanga Bharadhwaj, Kevin Xie, Florian Shkurti

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments L4DC 2020; Accepted for presentation in the 2nd Annual Conference on Learning for Dynamics and Control

1908.05751 2020-03-05 cs.LG cs.AI cs.RO stat.ML 62%

Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures

Johannes Günther, Nadia M. Ady, Alex Kearney, Michael R. Dawson, Patrick M. Pilarski

专题命中工具调用：autonomous agent(abstract)；分类 cs.AI、cs.LG

2002.08718 2020-02-21 cs.AI cs.LG cs.RO 62%

Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search

Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted as a conference paper in ICRA 2020

2002.05822 2020-02-17 cs.LG cs.AI stat.ML 62%

Frequency-based Search-control in Dyna

Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments Accepted to ICLR 2020

2002.00720 2020-02-06 cs.LO cs.AI cs.CL 62%

Introduction of Quantification in Frame Semantics

Valentin D. Richard

专题命中工具调用：tool use(abstract)；分类 cs.AI、cs.CL

Comments Master report

2001.01941 2020-01-08 cs.CL cs.LG 62%

Paraphrase Generation with Latent Bag of Words

Yao Fu, Yansong Feng, John P. Cunningham

专题命中工具调用：planning(abstract)；分类 cs.CL、cs.LG

Comments NeurIPS 19 camera ready

2001.01620 2020-01-07 cs.LG cs.AI stat.ML 62%

Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints

Manuel Del Verme, Bruno Castro da Silva, Gianluca Baldassarre

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

1912.05492 2019-12-12 cs.AI cs.LG 62%

Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS

Masataro Asai

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments Technical Report; not going to be submitted to the conference

1912.04639 2019-12-11 cs.CL cs.IR cs.LG 62%

Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset

Gustavo Penha, Alexandru Balan, Claudia Hauff

专题命中工具调用：agent(abstract)；分类 cs.CL、cs.LG

1911.07109 2019-11-26 cs.LG cs.AI cs.RO stat.ML 62%

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance

Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted to AAAI 2020. Xiaojian Ma and Mingxuan Jing contributed equally to this work

1805.07440 2019-11-22 cs.LG cs.AI cs.CV cs.DC stat.ML 62%

Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search

Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments To appear in the Thirty-Fourth AAAI conference on Artificial Intelligence (AAAI-2020)

1909.02851 2019-09-09 eess.AS cs.CL cs.LG cs.SD stat.ML 62%

Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations

Jan Mizgajski, Adrian Szymczak, Robert Głowski, Piotr Szymański, Piotr Żelasko, Łukasz Augustyniak, Mikołaj Morzy, Yishay Carmiel, Jeff Hodson, Łukasz Wójciak, Daniel Smoczyk, Adam Wróbel, Bartosz Borowik, Adam Artajew, Marcin Baran, Cezary Kwiatkowski, Marzena Żyła-Hoppe

专题命中工具调用：agent(abstract)；分类 cs.CL、cs.LG

Comments Accepted for Interspeech 2019

1806.05780 2019-09-06 cs.LG cs.AI stat.ML 62%

Surprising Negative Results for Generative Adversarial Tree Search

Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Zachary C Lipton, Animashree Anandkumar

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

1908.06132 2019-08-20 cs.IR cs.AI cs.LG 62%

Learning Representations and Agents for Information Retrieval

Rodrigo Nogueira

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

1905.09275 2019-08-15 cs.LG cs.AI 62%

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Nicholas Watters, Loic Matthey, Matko Bosnjak, Christopher P. Burgess, Alexander Lerchner

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

1908.04436 2019-08-14 cs.LG cs.AI stat.ML 62%

Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games

Philip Bontrager, Ahmed Khalifa, Damien Anderson, Matthew Stephenson, Christoph Salge, Julian Togelius

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments 7 pages, 4 figures, Accepted at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 19)

1908.03343 2019-08-12 cs.LG cs.AI cs.RO 62%

Fully Convolutional Search Heuristic Learning for Rapid Path Planners

Yuka Ariki, Takuya Narihira

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments 11 pages, 4 figures

1906.07791 2019-07-05 cs.LG cs.AI stat.ML 62%

Hill Climbing on Value Estimates for Search-control in Dyna

Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments IJCAI 2019

1901.11478 2019-06-14 cs.LG cs.AI stat.ML 62%

An Optimization Framework for Task Sequencing in Curriculum Learning

Francesco Foglino, Christiano Coletto Christakou, Matteo Leonetti

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments Proceedings of 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob)

1905.12197 2019-05-30 cs.RO cs.AI cs.LG 62%

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Journal ref Proc. Robotics: Science & Systems (RSS), 2019

1904.12255 2019-04-30 cs.RO cs.AI cs.LG 62%

Non-myopic Planetary Exploration Combining In Situ and Remote Measurements

Suhit Kodgule, Alberto Candela, David Wettergreen

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments Preprint. Under review for IROS 2019

1904.05538 2019-04-12 cs.RO cs.AI cs.LG 62%

Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight

Annie Xie, Frederik Ebert, Sergey Levine, Chelsea Finn

专题命中工具调用：tool use(abstract)；分类 cs.AI、cs.LG

Comments Videos available at https://sites.google.com/view/gvf-tool

1804.02477 2019-04-11 cs.LG cs.AI cs.PL stat.ML 62%

Programmatically Interpretable Reinforcement Learning

Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments Published at The 35th International Conference on Machine Learning (ICML 2018)

Journal ref PMLR 80:5045-5054

1809.01843 2019-02-19 cs.LG cs.AI stat.ML 62%

How to Combine Tree-Search Methods in Reinforcement Learning

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments AAAI 2019

1812.06176 2018-12-18 cs.AI cs.CL 62%

Bootstrapping Conversational Agents With Weak Supervision

Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.CL

Comments 6 pages, 3 figures, 1 table, Accepted for publication in IAAI 2019

1807.01672 2018-12-10 cs.LG cs.AI stat.ML 62%

Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Journal ref Presented at the Thirty-second Conference on Neural Information Processing Systems (NeurIPS 2018), Deep Reinforcement Learning Workshop, Montreal, Canada, December 3-8, 2018

1812.00045 2018-12-04 cs.LG cs.AI cs.NE 62%

Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL

Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor

专题命中工具调用：planning(abstract)；分类 cs.AI、cs.LG

Comments 9 pages, 6 figures, To appear at AAAI-19 Workshop on Reinforcement Learning in Games

1710.03875 2018-10-30 cs.LG cs.AI cs.LO 62%

Learning Task Specifications from Demonstrations

Marcell Vazquez-Chanlatte, Susmit Jha, Ashish Tiwari, Mark K. Ho, Sanjit A. Seshia

专题命中工具调用：agent(abstract)；分类 cs.AI、cs.LG

Comments NIPS 2018

1803.00781 2018-10-11 cs.LG cs.AI 62%

Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration

Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer

专题命中工具调用：tool use(abstract)；分类 cs.AI、cs.LG

1. 工具调用 5059 篇

Learning large logic programs by going beyond entailment

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures

Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search

Frequency-based Search-control in Dyna

Introduction of Quantification in Frame Semantics

Paraphrase Generation with Latent Bag of Words

Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints

Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS

Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance

Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search

Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations

Surprising Negative Results for Generative Adversarial Tree Search

Learning Representations and Agents for Information Retrieval

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games

Fully Convolutional Search Heuristic Learning for Rapid Path Planners

Hill Climbing on Value Estimates for Search-control in Dyna

An Optimization Framework for Task Sequencing in Curriculum Learning

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Non-myopic Planetary Exploration Combining In Situ and Remote Measurements

Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight

Programmatically Interpretable Reinforcement Learning

How to Combine Tree-Search Methods in Reinforcement Learning

Bootstrapping Conversational Agents With Weak Supervision

Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization

Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL

Learning Task Specifications from Demonstrations

Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration