AI Agent - arXivDaily 专题

1712.03890 2017-12-13 cs.NI cs.AI cs.LG 62%

DeepConfig: Automating Data Center Network Topologies Management with Machine Learning

Christopher Streiffer, Huan Chen, Theophilus Benson, Asim Kadav

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1711.09883 2017-11-29 cs.LG cs.AI 62%

AI Safety Gridworlds

Jan Leike, Miljan Martic, Victoria Krakovna, Pedro A. Ortega, Tom Everitt, Andrew Lefrancq, Laurent Orseau, Shane Legg

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1704.03732 2017-11-27 cs.AI cs.LG 62%

Deep Q-learning from Demonstrations

Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Gabriel Dulac-Arnold, Ian Osband, John Agapiou, Joel Z. Leibo, Audrunas Gruslys

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments Published at AAAI 2018. Previously on arxiv as "Learning from Demonstrations for Real World Reinforcement Learning"

1711.07613 2017-11-22 cs.CV cs.AI cs.CL 62%

Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning

Qi Wu, Peng Wang, Chunhua Shen, Ian Reid, Anton van den Hengel

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.CL

1705.05427 2017-11-07 cs.AI cs.LG 62%

Repeated Inverse Reinforcement Learning

Kareem Amin, Nan Jiang, Satinder Singh

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments The first two authors contributed equally to this work. The paper appears in NIPS 2017

1504.02247 2017-11-02 cs.AI cs.LG stat.ML 62%

Projective simulation with generalization

Alexey A. Melnikov, Adi Makmal, Vedran Dunjko, Hans J. Briegel

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments 14 pages, 9 figures

Journal ref Sci. Rep. 7, 14430 (2017)

1710.05298 2017-10-25 cs.LG cs.CL cs.RO 62%

Text2Action: Generative Adversarial Synthesis from Language to Action

Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, Songhwai Oh

专题命中 Agent评测：agent(abstract)；分类 cs.CL、cs.LG

Comments 8 pages, 10 figures

1709.09816 2017-09-29 cs.CL cs.AI 62%

Edina: Building an Open Domain Socialbot with Self-dialogues

Ben Krause, Marco Damonte, Mihai Dobre, Daniel Duma, Joachim Fainberg, Federico Fancellu, Emmanuel Kahembwe, Jianpeng Cheng, Bonnie Webber

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.CL

Comments 10 pages; submitted to the 1st Proceedings of the Alexa Prize

1709.08292 2017-09-26 cs.RO cs.AI cs.LG 62%

Underwater Multi-Robot Convoying using Visual Tracking by Detection

Florian Shkurti, Wei-Di Chang, Peter Henderson, Md Jahidul Islam, Juan Camilo Gamboa Higuera, Jimmy Li, Travis Manderson, Anqi Xu, Gregory Dudek, Junaed Sattar

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017

1705.08417 2017-08-22 cs.AI cs.LG stat.ML 62%

Reinforcement Learning with a Corrupted Reward Channel

Tom Everitt, Victoria Krakovna, Laurent Orseau, Marcus Hutter, Shane Legg

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments A shorter version of this report was accepted to IJCAI 2017 AI and Autonomy track

1708.05122 2017-08-18 cs.HC cs.AI cs.CL cs.CV 62%

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.CL

Comments HCOMP 2017

1707.06887 2017-07-24 cs.LG cs.AI stat.ML 62%

A Distributional Perspective on Reinforcement Learning

Marc G. Bellemare, Will Dabney, Rémi Munos

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments ICML 2017

1707.05173 2017-07-18 cs.AI cs.LG cs.NE 62%

Trial without Error: Towards Safe Reinforcement Learning via Human Intervention

William Saunders, Girish Sastry, Andreas Stuhlmueller, Owain Evans

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1704.06131 2017-07-12 cs.AI cs.LG stat.ML 62%

Learning to Acquire Information

Yewen Pu, Leslie P Kaelbling, Armando Solar-Lezama

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1706.07147 2017-06-23 cs.LG cs.AI q-bio.NC stat.ML 62%

A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment

Kevin T. Feigelis, Daniel L. K. Yamins

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1410.0949 2017-06-08 cs.LG cs.AI math.OC stat.ML 62%

Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits

Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvari

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments Proceedings of the 18th International Conference on Artificial Intelligence and Statistics

1705.10229 2017-05-30 cs.CL cs.LG cs.NE stat.ML 62%

Latent Intention Dialogue Models

Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve Young

专题命中 Agent评测：agent(abstract)；分类 cs.CL、cs.LG

Comments Accepted at ICML 2017

1702.06230 2017-05-09 cs.LG cs.AI 62%

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning

Vlad Firoiu, William F. Whitney, Joshua B. Tenenbaum

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1705.00673 2017-05-04 cs.AI cs.SE 62%

MACA: A Modular Architecture for Conversational Agents

Hoai Phuoc Truong, Prasanna Parthasarathi, Joelle Pineau

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.SE

Comments The architecture needs to be tested further. Sorry for the inconvenience. We should be putting up the paper up soon

1612.01086 2017-03-28 cs.AI cs.LG cs.RO 62%

Deep Learning of Robotic Tasks without a Simulator using Strong and Weak Human Supervision

Bar Hilleli, Ran El-Yaniv

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1612.04936 2017-02-14 cs.CL cs.AI 62%

Learning through Dialogue Interactions by Asking Questions

Jiwei Li, Alexander H. Miller, Sumit Chopra, Marc'Aurelio Ranzato, Jason Weston

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.CL

1406.7443 2017-02-01 cs.LG cs.AI stat.ML 62%

Efficient Learning in Large-Scale Combinatorial Semi-Bandits

Zheng Wen, Branislav Kveton, Azin Ashkan

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1611.09894 2016-12-04 cs.AI cs.LG stat.ML 62%

Exploration for Multi-task Reinforcement Learning with Deep Generative Models

Sai Praveen Bangaru, JS Suhas, Balaraman Ravindran

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments 9 pages, 5 figures; NIPS Deep Reinforcement Learning Workshop 2016, Barcelona

1611.10328 2016-12-01 cs.LG cs.AI 62%

The observer-assisted method for adjusting hyper-parameters in deep learning algorithms

Maciej Wielgosz

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

1611.08666 2016-11-29 cs.LG cs.AI cs.RO 62%

Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning

Heriberto Cuayáhuitl, Guillaume Couly, Clément Olalainty

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments NIPS Workshop on Future of Interactive Learning Machines, 2016

1609.04994 2016-11-21 cs.LG cs.AI 62%

Exploration Potential

Jan Leike

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments 10 pages, including proofs

1611.05379 2016-11-17 cs.AI cs.CL cs.HC cs.RO 62%

PCT and Beyond: Towards a Computational Framework for `Intelligent' Communicative Systems

Prof. Roger K. Moore

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.CL

Comments To appear in A. McElhone & W. Mansell (Eds.), Living Control Systems IV: Perceptual Control Theory and the Future of the Life and Social Sciences, Benchmark Publications Inc

1610.06620 2016-10-25 cs.CL cs.AI cs.CV 62%

Proposing Plausible Answers for Open-ended Visual Question Answering

Omid Bakhshandeh, Trung Bui, Zhe Lin, Walter Chang

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.CL

1605.07157 2016-10-19 cs.LG cs.AI cs.CV cs.RO 62%

Unsupervised Learning for Physical Interaction through Video Prediction

Chelsea Finn, Ian Goodfellow, Sergey Levine

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments To appear in NIPS '16; Video results, code, and data available at: http://www.sites.google.com/site/robotprediction

1610.02164 2016-10-10 cs.LG cs.AI 62%

Deep Reinforcement Learning From Raw Pixels in Doom

Danijar Hafner

专题命中 Agent评测：agent(abstract)；分类 cs.AI、cs.LG

Comments Bachelor's thesis

1. Agent评测 15819 篇

DeepConfig: Automating Data Center Network Topologies Management with Machine Learning

AI Safety Gridworlds

Deep Q-learning from Demonstrations

Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning

Repeated Inverse Reinforcement Learning

Projective simulation with generalization

Text2Action: Generative Adversarial Synthesis from Language to Action

Edina: Building an Open Domain Socialbot with Self-dialogues

Underwater Multi-Robot Convoying using Visual Tracking by Detection

Reinforcement Learning with a Corrupted Reward Channel

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

A Distributional Perspective on Reinforcement Learning

Trial without Error: Towards Safe Reinforcement Learning via Human Intervention

Learning to Acquire Information

A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment

Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits

Latent Intention Dialogue Models

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning

MACA: A Modular Architecture for Conversational Agents

Deep Learning of Robotic Tasks without a Simulator using Strong and Weak Human Supervision

Learning through Dialogue Interactions by Asking Questions

Efficient Learning in Large-Scale Combinatorial Semi-Bandits

Exploration for Multi-task Reinforcement Learning with Deep Generative Models

The observer-assisted method for adjusting hyper-parameters in deep learning algorithms

Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning

Exploration Potential

PCT and Beyond: Towards a Computational Framework for `Intelligent' Communicative Systems

Proposing Plausible Answers for Open-ended Visual Question Answering

Unsupervised Learning for Physical Interaction through Video Prediction

Deep Reinforcement Learning From Raw Pixels in Doom