AI Agent - arXivDaily 专题

1911.08111 2020-02-06 cs.IT cs.AI cs.LG math.IT 62%

Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning

Jin Qiu, Jiangbin Lyu, Liqun Fu

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

Comments 6 pages, 4 figures, accepted for publication in 2020 IEEE International Conference on Communications (ICC 2020)

2002.00149 2020-02-04 cs.LG cs.AI 62%

Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning

Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda

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

Comments 8 pages

1911.02690 2020-02-03 cs.CL cs.AI 62%

SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform

Paul A. Crook, Shivani Poddar, Ankita De, Semir Shafi, David Whitney, Alborz Geramifard, Rajen Subba

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

Comments ASRU 2019 (demonstration)

2001.08034 2020-01-23 cs.CL cs.AI cs.CV 62%

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs

Darryl Hannan, Akshay Jain, Mohit Bansal

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

Comments AAAI 2020 (10 pages)

1909.12892 2020-01-23 cs.LG cs.AI stat.ML 62%

Automated curricula through setter-solver interactions

Sebastien Racaniere, Andrew K. Lampinen, Adam Santoro, David P. Reichert, Vlad Firoiu, Timothy P. Lillicrap

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

Journal ref International Conference on Learning Representations, 2020

1807.06736 2020-01-14 cs.CL cs.LG cs.SD eess.AS 62%

Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis

Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai

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

Comments 5 pages, 3 figures, 2 tables. Published in IEEE International Conference on Acoustics, Speech and Signal Processing 2018 (ICASSP2018)

Journal ref IEEE International Conference on Acoustics, Speech and Signal Processing (2018) 4789-4793

1909.09849 2020-01-13 cs.MA cs.AI cs.LG 62%

Multiagent Evaluation under Incomplete Information

Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Perolat, Michal Valko, Georgios Piliouras, Remi Munos

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

2001.00234 2020-01-03 quant-ph cs.AI cs.LG 62%

Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach

Ramin Ayanzadeh, Milton Halem, Tim Finin

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

1912.12294 2019-12-30 cs.RO cs.AI cs.CV cs.LG 62%

Learning by Cheating

Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl

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

Comments Paper published in CoRL2019

1912.10113 2019-12-24 eess.SY cs.AI cs.LG cs.SY 62%

Teaching robots to perceive time -- A reinforcement learning approach (Extended version)

Inês Lourenço, Bo Wahlberg, Rodrigo Ventura

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

Comments 13 pages, 6 figures

1806.01946 2019-12-24 cs.AI cs.LG 62%

Learning to Understand Goal Specifications by Modelling Reward

Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Arian Hosseini, Pushmeet Kohli, Edward Grefenstette

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

Comments 19 pages, 9 figures

1810.08272 2019-12-20 cs.AI cs.CL 62%

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, Yoshua Bengio

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

Comments Accepted at ICLR 2019

1912.06101 2019-12-13 cs.LG cs.AI 62%

The PlayStation Reinforcement Learning Environment (PSXLE)

Carlos Purves, Cătălina Cangea, Petar Veličković

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

1912.04472 2019-12-11 cs.LG cs.AI stat.ML 62%

Deep Bayesian Reward Learning from Preferences

Daniel S. Brown, Scott Niekum

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

Comments Workshop on Safety and Robustness in Decision Making at the 33rd Conference on Neural Information Processing Systems (NeurIPS) 2019

1905.13469 2019-12-10 cs.LG cs.AI cs.NE 62%

Interval timing in deep reinforcement learning agents

Ben Deverett, Ryan Faulkner, Meire Fortunato, Greg Wayne, Joel Z. Leibo

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

Comments 11 pages, 7 figures

1912.00074 2019-12-03 cs.LG cs.AI stat.ML 62%

Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles

Pin Wang, Hanhan Li, Ching-Yao Chan

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

Comments Machine Learning for Autonomous Driving Workshop on NeurIPS, 2019

1905.07579 2019-12-03 cs.LG cs.AI stat.ML 62%

Combining Experience Replay with Exploration by Random Network Distillation

Francesco Sovrano

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

Comments 8 pages, 6 figures, accepted as full-paper at IEEE Conference on Games (CoG) 2019

1911.11260 2019-11-27 cs.LG cs.AI stat.ML 62%

Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem

John Holler, Risto Vuorio, Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye

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

Comments ICDM 2019 Short Paper

1811.12470 2019-11-26 cs.LG cs.AI cs.CR stat.ML 62%

Analyzing Federated Learning through an Adversarial Lens

Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo

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

Comments Extended version of paper accepted to ICML 2019, code available at https://github.com/inspire-group/ModelPoisoning; 19 pages, 14 figures

1911.10134 2019-11-25 cs.LG cs.AI 62%

A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features

Thibault Duhamel, Mariane Maynard, Froduald Kabanza

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

1911.09724 2019-11-25 stat.ML cs.AI cs.LG 62%

Information-Theoretic Confidence Bounds for Reinforcement Learning

Xiuyuan Lu, Benjamin Van Roy

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

1911.04021 2019-11-14 cs.AI cs.LG cs.NE 62%

DRiLLS: Deep Reinforcement Learning for Logic Synthesis

Abdelrahman Hosny, Soheil Hashemi, Mohamed Shalan, Sherief Reda

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

Comments ASPDAC'2020

1911.04870 2019-11-13 cs.AI cs.LG cs.MA stat.ML 62%

Network Classifiers With Output Smoothing

Elsa Rizk, Roula Nassif, Ali H. Sayed

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

1807.06333 2019-11-12 cs.LG cs.AI stat.ML 62%

Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications

Giuseppe De Giacomo, Luca Iocchi, Marco Favorito, Fabio Patrizi

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

Journal ref ICAPS 2019: 128-136

1911.02166 2019-11-07 cs.LG cs.AI 62%

Distributional Reward Decomposition for Reinforcement Learning

Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu

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

Comments NeurlPS 2019

1911.00954 2019-11-05 cs.LG cs.AI stat.ML 62%

Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs

Andrea Zanette, Emma Brunskill

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

Journal ref International Conference on Machine Learning, 2018

1911.00584 2019-11-05 cs.RO cs.AI cs.LG cs.MA 62%

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing

Timo Korthals, Malte Schilling, Jürgen Leitner

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

Comments Extended Abstract for the IROS 2019 Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics

1905.12588 2019-11-01 cs.LG cs.AI stat.ML 62%

Meta-Learning Representations for Continual Learning

Khurram Javed, Martha White

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

Comments Accepted at NeurIPS19, 15 pages, 10 figures, open-source, representation learning, continual learning, online learning

1910.08719 2019-10-31 cs.LG cs.AI cs.GT stat.ML 62%

Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids

Hareesh Kumar, Priyanka Mary Mammen, Krithi Ramamritham

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

1910.12911 2019-10-30 cs.LG cs.AI stat.ML 62%

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann

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

Comments Published at Neurips 2019

1. Agent评测 15819 篇

Placement Optimization of Aerial Base Stations with Deep Reinforcement Learning

Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning

SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs

Automated curricula through setter-solver interactions

Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis

Multiagent Evaluation under Incomplete Information

Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach

Learning by Cheating

Teaching robots to perceive time -- A reinforcement learning approach (Extended version)

Learning to Understand Goal Specifications by Modelling Reward

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

The PlayStation Reinforcement Learning Environment (PSXLE)

Deep Bayesian Reward Learning from Preferences

Interval timing in deep reinforcement learning agents

Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles

Combining Experience Replay with Exploration by Random Network Distillation

Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem

Analyzing Federated Learning through an Adversarial Lens

A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features

Information-Theoretic Confidence Bounds for Reinforcement Learning

DRiLLS: Deep Reinforcement Learning for Logic Synthesis

Network Classifiers With Output Smoothing

Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications

Distributional Reward Decomposition for Reinforcement Learning

Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs

A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing

Meta-Learning Representations for Continual Learning

Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck