AI Agent - arXivDaily 专题

1707.08553 2020-01-28 cs.LG 57%

Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning

Frederik Ruelens, Bert J. Claessens, Peter Vrancx, Fred Spiessens, Geert Deconinck

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments submitted and waiting review in IEEE transactions on smart grid 2017

Journal ref CSEE Journal of Power and Energy Systems, Vol. 5, Iss. 4, Dec. 2019, pp. 423-432

2001.05636 2020-01-17 cs.LG stat.ML 57%

MIME: Mutual Information Minimisation Exploration

Haitao Xu, Brendan McCane, Lech Szymanski, Craig Atkinson

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

1907.11461 2020-01-17 cs.MA cs.AI 57%

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments accepted by ICLR2020

1905.11832 2020-01-17 cs.LG cs.CV stat.ML 57%

Snooping Attacks on Deep Reinforcement Learning

Matthew Inkawhich, Yiran Chen, Hai Li

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments 13 pages, 12 figures

1912.10515 2019-12-24 cs.LO cs.AI 57%

Bringing Belief Base Change into Dynamic Epistemic Logic

Marlo Souza, Álvaro Moreira

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments Published at DaLI 2019

1906.04279 2019-12-19 cs.LG stat.ML 57%

Exploration via Hindsight Goal Generation

Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019)

1911.09682 2019-11-25 quant-ph cs.LG 57%

Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning

Artur Garcia-Saez, Jordi Riu

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments 6 pages, 4 figures

1911.08701 2019-11-21 cs.LG stat.ML 57%

Bayesian Curiosity for Efficient Exploration in Reinforcement Learning

Tom Blau, Lionel Ott, Fabio Ramos

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

1911.07224 2019-11-19 cs.LG cs.RO stat.ML 57%

Learning from Trajectories via Subgoal Discovery

Sujoy Paul, Jeroen van Baar, Amit K. Roy-Chowdhury

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments NeurIPS 2019 Accepted

1805.12375 2019-11-13 cs.LG stat.ML 57%

Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update

Su Young Lee, Sungik Choi, Sae-Young Chung

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments NeurIPS 2019

1906.05572 2019-11-11 cs.CL 57%

Proactive Human-Machine Conversation with Explicit Conversation Goals

Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian, Haifeng Wang

专题命中记忆与上下文管理：agent(abstract)；分类 cs.CL

Comments Accepted by ACL 2019

1911.00459 2019-11-04 cs.LG stat.ML 57%

Positive-Unlabeled Reward Learning

Danfei Xu, Misha Denil

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

1908.04742 2019-10-31 cs.LG stat.ML 57%

Online Continual Learning with Maximally Interfered Retrieval

Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Journal ref NeurIPS 2019

1910.12980 2019-10-30 cs.LG stat.ML 57%

Learning Transferable Graph Exploration

Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments To appear in NeurIPS 2019

1910.12807 2019-10-29 stat.ML cs.LG 57%

Better Exploration with Optimistic Actor-Critic

Kamil Ciosek, Quan Vuong, Robert Loftin, Katja Hofmann

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments 20 pages (including supplement)

Journal ref NeurIPS 2019

1909.09314 2019-10-29 cs.LG stat.ML 57%

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments NeurIPS 2019

1810.01108 2019-10-28 cs.LG cs.CV stat.ML 57%

Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning

Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana

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

Comments Updated the paper to match with version accepted at IEEE MMSP 2019

1910.01806 2019-10-15 cs.AI 57%

Deep Q-Network for Angry Birds

Ekaterina Nikonova, Jakub Gemrot

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

1909.09454 2019-09-23 cs.AI cs.LO 57%

Memory Management in Resource-Bounded Agents

Valentina Pitoni

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments In Proceedings ICLP 2019, arXiv:1909.07646. arXiv admin note: substantial text overlap with arXiv:1909.08256

Journal ref EPTCS 306, 2019, pp. 452-460

1907.12227 2019-09-20 math.PR cs.LG 57%

Reinforcement with Fading Memories

Kuang Xu, Se-Young Yun

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments Forthcoming in Mathematics of Operations Research; An extended abstract appeared in the proceedings of ACM SIGMETRICS 2018

1909.08161 2019-09-19 cs.HC cs.AI cs.RO 57%

Multimodal Continuation-style Architectures for Human-Robot Interaction

Nikhil Krishnaswamy, James Pustejovsky

专题命中记忆与上下文管理：agent(abstract)；分类 cs.AI

Comments Advances in Cognitive Systems Cognitive Vision Workshop (2019), 8 pages, 5 figures

1905.02265 2019-08-30 cs.CL 57%

Comprehensible Context-driven Text Game Playing

Xusen Yin, Jonathan May

专题命中记忆与上下文管理：agent(abstract)；分类 cs.CL

Comments IEEE Conference on Games 2019 Long Paper

1908.10714 2019-08-29 cs.LG cs.NE stat.ML 57%

Automated Architecture Design for Deep Neural Networks

Steven Abreu

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments Undergraduate Thesis

1908.08835 2019-08-26 cs.CL 57%

Deep Learning Based Chatbot Models

Richard Csaky

专题命中记忆与上下文管理：agent(abstract)；分类 cs.CL

Comments 67 pages. Written in October of 2017 for a university conference. In April of 2019, it won first place at the Hungarian Scientific Students' Associations Report, which is a national competition-like conference for students

1908.05451 2019-08-16 cs.LG stat.ML 57%

Mapping State Space using Landmarks for Universal Goal Reaching

Zhiao Huang, Fangchen Liu, Hao Su

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

1908.04660 2019-08-14 cs.CL 57%

Playing log(N)-Questions over Sentences

Peter Potash, Kaheer Suleman

专题命中记忆与上下文管理：agent(abstract)；分类 cs.CL

Comments 5 pages

1812.07252 2019-07-23 cs.RO cs.CV cs.LG 57%

Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)

1907.06396 2019-07-16 cs.LG stat.ML 57%

A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning

Wonshick Ko, Dong Eui Chang

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments 4 pages, 5 figures

1907.03588 2019-07-09 eess.SY cs.IT cs.LG cs.SY math.IT 57%

A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience

Aritra Mitra, John A. Richards, Shreyas Sundaram

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

Comments arXiv admin note: text overlap with arXiv:1903.05817

1907.03116 2019-07-09 cs.LG cs.RO stat.ML 57%

Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization

JaeWon Choi, Sung-eui Yoon

专题命中记忆与上下文管理：agent(abstract)；分类 cs.LG

1. 记忆与上下文管理 4758 篇

Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning

MIME: Mutual Information Minimisation Exploration

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

Snooping Attacks on Deep Reinforcement Learning

Bringing Belief Base Change into Dynamic Epistemic Logic

Exploration via Hindsight Goal Generation

Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning

Bayesian Curiosity for Efficient Exploration in Reinforcement Learning

Learning from Trajectories via Subgoal Discovery

Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update

Proactive Human-Machine Conversation with Explicit Conversation Goals

Positive-Unlabeled Reward Learning

Online Continual Learning with Maximally Interfered Retrieval

Learning Transferable Graph Exploration

Better Exploration with Optimistic Actor-Critic

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning

Deep Q-Network for Angry Birds

Memory Management in Resource-Bounded Agents

Reinforcement with Fading Memories

Multimodal Continuation-style Architectures for Human-Robot Interaction

Comprehensible Context-driven Text Game Playing

Automated Architecture Design for Deep Neural Networks

Deep Learning Based Chatbot Models

Mapping State Space using Landmarks for Universal Goal Reaching

Playing log(N)-Questions over Sentences

Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

A Dual Memory Structure for Efficient Use of Replay Memory in Deep Reinforcement Learning

A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience

Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization