AI Agent - arXivDaily 专题

2102.09756 2021-06-18 cs.LG cs.AI cs.LO 62%

TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning

Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli

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

2106.05842 2021-06-11 cs.LG cs.AI 62%

Causality in Neural Networks -- An Extended Abstract

Abbavaram Gowtham Reddy

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

2105.09124 2021-05-20 cs.CV cs.AI cs.LG 62%

Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images

Guang-Quan Zhou, Juzheng Miao, Xin Yang, Rui Li, En-Ze Huo, Wenlong Shi, Yuhao Huang, Jikuan Qian, Chaoyu Chen, Dong Ni

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

Comments 12 pages, 10 figures, accepted by IEEE Journal of Biomedical and Health Informatics

2104.13297 2021-05-06 quant-ph cs.AI cs.LG 62%

Quantum circuit synthesis of Bell and GHZ states using projective simulation in the NISQ era

O. M. Pires, E. I. Duzzioni, J. Marchi, R. Santiago

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

Journal ref Inteligencia Artificial, 24(67) (2021), 90-101

2010.02923 2021-05-04 cs.AI cs.GT cs.LG 62%

Human-Level Performance in No-Press Diplomacy via Equilibrium Search

Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown

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

2104.07715 2021-04-19 quant-ph cs.AI cs.LG cs.NE 62%

Quantum Architecture Search via Deep Reinforcement Learning

En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen

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

2103.16215 2021-03-31 cs.LG cs.AI 62%

Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal

Enrique Fernandez-Blanco, Daniel Rivero, Alejandro Pazos

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

Comments 20 pages, 4 figures, 4 tables

Journal ref Soft Computing 24, 4067-4079 (2020)

2103.15692 2021-03-30 cs.NE cs.AI cs.LG 62%

Self-Constructing Neural Networks Through Random Mutation

Samuel Schmidgall

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

Comments Accepted to ICLR 'A Roadmap to Never-Ending RL' (NERL) 2021 Workshop

2103.11505 2021-03-23 cs.AI cs.LG 62%

Policy-Guided Heuristic Search with Guarantees

Laurent Orseau, Levi H. S. Lelis

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

1909.04063 2021-03-22 cs.LG cs.AI stat.ML 62%

Exploratory Combinatorial Optimization with Reinforcement Learning

Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky

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

Comments In Proceedings of the 34th National Conference on Artificial Intelligence, AAAI 2020

Journal ref Proceedings of Thirty-fourth AAAI conference on artificial intelligence, 3243-3250 (2020)

2009.09439 2021-03-18 cs.LG cs.AI cs.NE stat.ML 62%

Latent Representation Prediction Networks

Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott

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

Comments 29 pages

2008.02778 2021-03-01 cs.AI cs.HC cs.LG 62%

Mixed-Initiative Level Design with RL Brush

Omar Delarosa, Hang Dong, Mindy Ruan, Ahmed Khalifa, Julian Togelius

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

2102.08251 2021-02-17 cs.AI cs.LG 62%

Reinforced Contact Tracing and Epidemic Intervention

Tao Feng, Sirui Song, Tong Xia, Yong Li

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

2007.00391 2021-02-17 cs.LG cs.AI 62%

Convex Regularization in Monte-Carlo Tree Search

Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen

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

2102.00966 2021-02-03 cs.LG cs.AI 62%

Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search

Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion

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

Comments 8 pages, 4 figures

2101.08197 2021-01-21 cs.IR cs.CL cs.LG 62%

Open-Domain Conversational Search Assistant with Transformers

Rafael Ferreira, Mariana Leite, David Semedo, Joao Magalhaes

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

2012.11045 2020-12-22 cs.AI cs.LG 62%

Monte-Carlo Graph Search for AlphaZero

Johannes Czech, Patrick Korus, Kristian Kersting

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

Comments 11 pages, 7 figures, 3 tables

2012.07910 2020-12-16 cs.AI cs.LG 62%

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search

Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh

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

Comments Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)

2012.06052 2020-12-14 cs.LG cs.AI 62%

Interactive Search Based on Deep Reinforcement Learning

Yang Yu, Zhenhao Gu, Rong Tao, Jingtian Ge, Kenglun Chang

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

2004.09392 2020-12-02 eess.SP cs.AI cs.LG 62%

A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks

Kun Wang, WaiChing Sun, Qiang Du

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

2007.13544 2020-12-01 cs.GT cs.AI cs.LG 62%

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong

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

2002.04335 2020-11-20 cs.AI cs.LG 62%

Static and Dynamic Values of Computation in MCTS

Eren Sezener, Peter Dayan

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

Comments Presented in UAI 2020

Journal ref PMLR 124:31-40, 2020

1909.04115 2020-10-20 cs.LG cs.AI stat.ML 62%

Gradient-Aware Model-based Policy Search

Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli

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

2009.06355 2020-09-15 cs.AI cs.LG 62%

Using Graph Convolutional Networks and TD($λ$) to play the game of Risk

Jamie Carr

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

2008.06073 2020-08-17 cs.AI cs.LG cs.RO 62%

Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter

Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martín-Martín, Silvio Savarese

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

2008.03424 2020-08-11 cs.AI cs.LG 62%

Learning (Re-)Starting Solutions for Vehicle Routing Problems

Xingwen Zhang, Shuang Yang

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

2008.01257 2020-08-05 cs.AI cs.LG 62%

Reinforced Epidemic Control: Saving Both Lives and Economy

Sirui Song, Zefang Zong, Yong Li, Xue Liu, Yang Yu

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

Comments Accepted by KDD'20 "AI For Covid-19" Initiative

2002.09595 2020-06-23 cs.AI cs.CY cs.HC cs.LG 62%

The Pragmatic Turn in Explainable Artificial Intelligence (XAI)

Andrés Páez

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

Journal ref Minds and Machines, 29(3), 441-459, 2019

2006.10525 2020-06-19 cs.LG cs.AI 62%

StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search

Islam Elnabarawy, Kristijana Arroyo, Donald C. Wunsch

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

2006.01610 2020-06-03 cs.AI cs.LG 62%

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Andre Cire

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

1. 工具调用 5059 篇

TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning

Causality in Neural Networks -- An Extended Abstract

Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images

Quantum circuit synthesis of Bell and GHZ states using projective simulation in the NISQ era

Human-Level Performance in No-Press Diplomacy via Equilibrium Search

Quantum Architecture Search via Deep Reinforcement Learning

Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal

Self-Constructing Neural Networks Through Random Mutation

Policy-Guided Heuristic Search with Guarantees

Exploratory Combinatorial Optimization with Reinforcement Learning

Latent Representation Prediction Networks

Mixed-Initiative Level Design with RL Brush

Reinforced Contact Tracing and Epidemic Intervention

Convex Regularization in Monte-Carlo Tree Search

Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search

Open-Domain Conversational Search Assistant with Transformers

Monte-Carlo Graph Search for AlphaZero

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search

Interactive Search Based on Deep Reinforcement Learning

A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

Static and Dynamic Values of Computation in MCTS

Gradient-Aware Model-based Policy Search

Using Graph Convolutional Networks and TD($λ$) to play the game of Risk

Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter

Learning (Re-)Starting Solutions for Vehicle Routing Problems

Reinforced Epidemic Control: Saving Both Lives and Economy

The Pragmatic Turn in Explainable Artificial Intelligence (XAI)

StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization