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ORCIDICA 2019: Jinan, China
- IEEE International Conference on Agents, ICA 2019, Jinan, China, October 18-21, 2019. IEEE 2019, ISBN 978-1-7281-4026-1
- Tianze Luo, Budhitama Subagdja, Di Wang, Ah-Hwee Tan
:
Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning. 2-7 - Jin Tanda, Ahmed Moustafa, Takayuki Ito:
Cooperative Behavior by Multi-agent Reinforcement Learning with Abstractive Communication. 8-13 - Wei Liu, Shuyue Hu, Jiamou Liu, Wu Chen, Siyuan Chen, Yong Yu:
Efficient and Robust Emergence of Conventions through Learning and Staying. 14-19 - Siyuan Chen, Wei Liu, Jiamou Liu, Khí-Uí Soo, Wu Chen:
Maximizing Social Welfare in Fractional Hedonic Games using Shapley Value. 21-26 - Takashi Nakazawa, Tomoyuki Tatsumi:
An Analysis of Threads with No Responses in Online Asynchronous Discussions. 27-32 - Shi-Cho Cha, Zhuo-Xun Li, Chuan-Yen Fan, Mila Tsai, Je-Yu Li, Tzu-Chia Huang:
On Design and Implementation a Federated Chat Service Framework in Social Network Applications. 33-36 - Daiko Kishikawa, Sachiyo Arai:
Comfortable Driving by using Deep Inverse Reinforcement Learning. 38-43 - Chang Wang, Hao Chen, Chao Yan, Xiaojia Xiang:
Reinforcement Learning with an Extended Classifier System in Zero-sum Markov Games. 44-49 - Koichi Moriyama, Yoshiya Kurogi, Atsuko Mutoh, Tohgoroh Matsui, Nobuhiro Inuzuka:
Running Reinforcement Learning Agents on GPU for Many Simulations of Two-Person Simultaneous Games. 50-55 - Ru Wang, Wei Pan, Jinghui Ma, HangXing Wang:
A Synonym Extraction Method Based on Intimacy. 57-60 - Kousuke Nishi, Sachiyo Arai:
Modeling multi-objectivization mechanism in multi-agent domain. 61-64 - Toya Kamatani, Yusuke Nakata, Sachiyo Arai:
Dynamic pricing method to maximize utilization of one-way car sharing service. 65-68 - Chiao-Ting Chen, Lin-Kuan Chiang, Yi-Cheng Huang, Szu-Hao Huang:
Forecasting Interaction of Exchange Rates Between Fiat Currencies and Cryptocurrencies Based on Deep Relation Networks. 69-72 - Jonathan Leung, Zhiqi Shen, Chunyan Miao:
Goal-Oriented Modelling for Virtual Assistants. 73-76 - Pei-Ying Wang, Chun-Shou Liu, Yao-Chun Yang, Szu-Hao Huang:
A Robo-Advisor Design using Multiobjective RankNets with Gated Neural Network Structure. 77-78 - Jiaxi Gao, Cyril Leung, Chunyan Miao:
Diabetic Retinopathy Classification Using an Efficient Convolutional Neural Network. 80-85 - Yaqing Zhang, Xueming Li, Xuewei Li:
Photo Cropping via Deep Reinforcement Learning. 86-90 - Yafei Zhou, Takahiro Uchiya, Somayya Madakam:
Development of Wide Area Distributed Backup System by Using Agent Framework DASH. 91-94 - Chin Chou, Jhih-Chen Liu, Chiao-Ting Chen, Szu-Hao Huang:
Deep Learning in Model Risk Neutral Distribution for Option Pricing. 95-98 - Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan:
End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration. 99-102
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last updated on 2024-12-19 22:19 CET by the dblp team
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