AI Agent - arXivDaily 专题

2110.08704 2021-10-19 cs.IT cs.AI cs.LG math.IT 62%

A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks

Xiang Zhang, Shamik Sarkar, Arupjyoti Bhuyan, Sneha Kumar Kasera, Mingyue Ji

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

Comments 10 pages

2107.08888 2021-09-21 cs.LG cs.AI 62%

Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning

Mingqi Yuan, Mon-on Pun, Dong Wang, Yi Chen, Haojun Li

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

Comments 17 pages, 5 figures

2109.08236 2021-09-20 cs.LG cs.AI 62%

Reinforcement Learning on Encrypted Data

Alberto Jesu, Victor-Alexandru Darvariu, Alessandro Staffolani, Rebecca Montanari, Mirco Musolesi

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

2102.05714 2021-09-06 cs.LG cs.AI 62%

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation

Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

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

Comments Accepted by AAAI 2021; Fixed a typo in equation 3

2108.08911 2021-08-23 cs.LG cs.AI 62%

Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task

Angel Ayala, Francisco Cruz, Bruno Fernandes, Richard Dazeley

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

2010.04444 2021-08-23 cs.LG cs.AI 62%

Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning

Paul J. Pritz, Liang Ma, Kin K. Leung

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

2108.01869 2021-08-05 cs.AI cs.LG 62%

Learning Task Agnostic Skills with Data-driven Guidance

Even Klemsdal, Sverre Herland, Abdulmajid Murad

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

Comments ICML 2021 Workshop on Unsupervised Reinforcement Learning (https://openreview.net/forum?id=CPh9DeHv08U)

2010.09394 2021-08-03 cs.DB cs.AI cs.LG 62%

Knowledge Graph-based Question Answering with Electronic Health Records

Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi

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

Comments Accepted at Machine Learning in Health Care (MLHC) 2021

2107.03003 2021-07-08 cs.LG cs.AI stat.ML 62%

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling

Kai Wang, Bryan Wilder, Sze-chuan Suen, Bistra Dilkina, Milind Tambe

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

2006.15714 2021-07-06 cs.LG cs.AI 62%

Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples

Zhe Xu, Bo Wu, Aditya Ojha, Daniel Neider, Ufuk Topcu

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

2107.00703 2021-07-05 cs.LG cs.AI 62%

Distilling Reinforcement Learning Tricks for Video Games

Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki

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

Comments To appear in IEEE Conference on Games 2021. Experiment code is available at https://github.com/Miffyli/rl-human-prior-tricks

2106.09578 2021-06-18 cs.CL cs.AI 62%

Modeling Worlds in Text

Prithviraj Ammanabrolu, Mark O. Riedl

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

Comments Preprint. Under review. Benchmark can be found at https://github.com/JerichoWorld/JerichoWorld

2010.02383 2021-06-18 cs.LG cs.AI stat.ML 62%

Randomized Value Functions via Posterior State-Abstraction Sampling

Dilip Arumugam, Benjamin Van Roy

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

Comments Accepted to the Workshop on Biological and Artificial Reinforcement Learning (NeurIPS 2020)

2106.07814 2021-06-16 cs.LG cs.AI stat.ML 62%

Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity

Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li

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

Comments ICML 2021

2103.06469 2021-06-14 cs.LG cs.AI 62%

Generalizable Episodic Memory for Deep Reinforcement Learning

Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang

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

2010.01062 2021-06-11 cs.LG cs.AI stat.ML 62%

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning

Luisa Zintgraf, Leo Feng, Cong Lu, Maximilian Igl, Kristian Hartikainen, Katja Hofmann, Shimon Whiteson

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

Comments Published at the International Conference on Machine Learning (ICML) 2021

2106.03775 2021-06-08 cs.AI cs.LG 62%

Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems

Jeff Druce, Michael Harradon, James Tittle

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

Comments NeurIPS Deep RL workshop, Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada

2005.00123 2021-06-04 cs.LG cs.CL stat.ML 62%

Unsupervised Learning of KB Queries in Task-Oriented Dialogs

Dinesh Raghu, Nikhil Gupta, Mausam

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

Comments Presented at ACL 2021

Journal ref Transactions of the Association for Computational Linguistics (2021) 9: 374-390

2105.03752 2021-05-11 physics.flu-dyn cs.AI cs.LG physics.comp-ph 62%

Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening

Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar

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

Comments 12 pages, 7 figures

2105.00499 2021-05-04 cs.RO cs.AI cs.LG cs.MA 62%

Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning

Saeed Tafazzol, Erfan Fathi, Mahdi Rezaei, Ehsan Asali

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

2008.11634 2021-05-03 cs.AI cs.LG cs.NE cs.SY eess.SY 62%

Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations

Alvaro Cabrejas-Egea, Shaun Howell, Maksis Knutins, Colm Connaughton

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

Comments Conference paper, 13 pages, 7 figures, 1 table

2010.11917 2021-04-27 cs.RO cs.AI cs.LG 62%

Batch Exploration with Examples for Scalable Robotic Reinforcement Learning

Annie S. Chen, HyunJi Nam, Suraj Nair, Chelsea Finn

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

Comments 11 Pages, 11 Figures

Journal ref IEEE Robotics and Automation Letters ( Volume: 6, Issue: 3, July 2021)

2102.12088 2021-04-15 cs.AI cs.LG 62%

Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows

Nazneen N Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar

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

Comments 9 pages

2104.02959 2021-04-08 cs.LG cs.AI 62%

The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL

Badr AlKhamissi, Muhammad ElNokrashy, Michael Spranger

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

Comments This work was accepted at the Learning to Learn Workshop (ICLR 2021)

2012.10140 2021-04-02 cs.LG cs.AI cs.RO cs.SY eess.SY 62%

Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs

Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg

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

2103.15073 2021-03-30 cs.LG cs.AI cs.SY eess.SY 62%

IUP: An Intelligent Utility Prediction Scheme for Solid-State Fermentation in 5G IoT

Min Wang, Shanchen Pang, Tong Ding, Sibo Qiao, Xue Zhai, Shuo Wang, Neal N. Xiong, Zhengwen Huang

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

2009.03855 2021-03-18 cs.AI cs.LG 62%

Induction and Exploitation of Subgoal Automata for Reinforcement Learning

Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo

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

Comments Published in the Journal of Artificial Intelligence Research (JAIR)

Journal ref Journal of Artificial Intelligence Research, 70, 1031-1116 (2021)

2002.01883 2021-03-16 cs.LG cs.AI stat.ML 62%

Deep Radial-Basis Value Functions for Continuous Control

Kavosh Asadi, Neev Parikh, Ronald E. Parr, George D. Konidaris, Michael L. Littman

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

Comments In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI)

2006.09324 2021-03-09 cs.LG cs.AI stat.ML 62%

The Sample Complexity of Teaching-by-Reinforcement on Q-Learning

Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

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

2102.11051 2021-02-23 cs.RO cs.AI cs.LG 62%

Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation

Nikola Vulin, Sammy Christen, Stefan Stevsic, Otmar Hilliges

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

Comments 8 pages

1. 记忆与上下文管理 4753 篇

A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks

Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning

Reinforcement Learning on Encrypted Data

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation

Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task

Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning

Learning Task Agnostic Skills with Data-driven Guidance

Knowledge Graph-based Question Answering with Electronic Health Records

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling

Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples

Distilling Reinforcement Learning Tricks for Video Games

Modeling Worlds in Text

Randomized Value Functions via Posterior State-Abstraction Sampling

Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity

Generalizable Episodic Memory for Deep Reinforcement Learning

Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning

Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems

Unsupervised Learning of KB Queries in Task-Oriented Dialogs

Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening

Curious Exploration and Return-based Memory Restoration for Deep Reinforcement Learning

Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations

Batch Exploration with Examples for Scalable Robotic Reinforcement Learning

Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows

The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL

Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs

IUP: An Intelligent Utility Prediction Scheme for Solid-State Fermentation in 5G IoT

Induction and Exploitation of Subgoal Automata for Reinforcement Learning

Deep Radial-Basis Value Functions for Continuous Control

The Sample Complexity of Teaching-by-Reinforcement on Q-Learning

Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation