Skip to content

Katsuhide Fujita

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

41

Venues

12

Active years

2008–2026

Best venue rank

A*

Where they publish

Papers

41 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIStrategic Tool Enhanced AI Agent for Multi-Issue Negotiation (Student Abstract).Daiki Kitashima, Ryota Higa, Katsuhide Fujita
2026AAAICtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract).Shota Takayama, Katsuhide Fujita
2026ACLLLM-Based Zero-Shot Soft Labeling for Anticipating Disagreement in Negotiation Dialogues.Ken Watanabe, Katsuhide Fujita
2026ICAARTODiN: Offline Reinforcement Learning with Diffusion Policies for Bilateral Negotiation Strategies.Yuji Kobayashi, Katsuhide Fujita
2026ICAARTCentralized-to-Decentralized Knowledge Transfer in Multi-Agent Reinforcement Learning via a Hybrid Execution Paradigm.Shota Takayama, Katsuhide Fujita
2025AAAISequential Order Adjustment of Action Decisions for Multi-Agent Transformer (Student Abstract).Shota Takayama, Katsuhide Fujita
2025ICAARTPre-Trained Models and Fine-Tuning for Negotiation Strategies with End-to-End Reinforcement Learning.Yuji Kobayashi, Katsuhide Fujita
2025ICAARTPre-trained Models for RL Negotiation Agents: The Effect of Data Diversity.Yuji Kobayashi, Katsuhide Fujita
2025ICAARTNegotiation Dialogue System Using a Deep Learning-Based Parser.Kenjiro Morimoto, Katsuhide Fujita, Ken Watanabe
2025PAAMSMARL with Automated Negotiation for Reduction of Bullwhip Effect in Serial Supply Chain.Hajime Endo, Katsuhide Fujita
2025PAAMSInfluence of State Representation on Algorithmic Collusion Under Deep Learning.Yuzuru Kitamura, Katsuhide Fujita
2025PRIMAAOAD-MAT: Transformer-Based Multi-agent Deep Reinforcement Learning Model Considering Agents' Order of Action Decisions.Shota Takayama, Katsuhide Fujita
2024AAAICoordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract).Takumu Shimizu, Ryota Higa, Katsuhide Fujita, Shinji Nakadai
2024ICAARTDeep Reinforcement Learning Framework with Representation Learning for Concurrent Negotiation.Ryoga Miyajima, Katsuhide Fujita
2024ICAARTClustering-Based Approach to Strategy Selection for Meta-Strategy in Automated Negotiation.Hiroyasu Yoshino, Katsuhide Fujita
2023AAAIReward-Based Negotiating Agent Strategies.Ryota Higa, Katsuhide Fujita, Toki Takahashi, Takumu Shimizu, Shinji Nakadai
2023AAAIScalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract).Takumu Shimizu, Ryota Higa, Toki Takahashi, Katsuhide Fujita, Shinji Nakadai
2023ICAARTA Fine-Tuning Aggregation Convolutional Neural Network Surrogate Model of Strategy Selecting Mechanism for Repeated-Encounter Bilateral Automated Negotiation.Shengbo Chang, Katsuhide Fujita
2023ICAARTEffective Adaptive Strategy Selection Using Extended Fine-Tuning and CNN-Based Surrogate Model in Repeated-Encounter Bilateral Automated Negotiation.Shengbo Chang, Katsuhide Fujita
2022AAAIVeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract).Toki Takahashi, Ryota Higa, Katsuhide Fujita, Shinji Nakadai
2022ICAARTAllocation Considering Agent Importance in Constrained Robust Multi-Team Formation.Ryo Terazawa, Katsuhide Fujita
2022PRIMARobustness of Congestion Pricing in Traffic Networks with Link-Specific Noise.Naohiro Yoshida, Katsuhide Fujita
2021EACLDialogue Act-based Breakdown Detection in Negotiation Dialogues.Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita
2020AAAIBreakdown Detection in Negotiation Dialogues (Student Abstract).Atsuki Yamaguchi, Katsuhide Fujita
2020EUMASChallenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019.Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Johnathan Mell, Jonathan Gratch, Dave de Jonge, Yasser Mohammad, Shinji Nakadai, Satoshi Morinaga, Hirotaka Osawa, Claus Aranha, Catholijn M. Jonker
2020LRECCorpus for Modeling User Interactions in Online Persuasive Discussions.Ryo Egawa, Gaku Morio, Katsuhide Fujita
2019AAAIOn the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components.Gaku Morio, Katsuhide Fujita
2019ACLAnnotating and Analyzing Semantic Role of Elementary Units and Relations in Online Persuasive Arguments.Ryo Egawa, Gaku Morio, Katsuhide Fujita
2019EMNLPRevealing and Predicting Online Persuasion Strategy with Elementary Units.Gaku Morio, Ryo Egawa, Katsuhide Fujita
2019ICAARTDesigning a Flexible Supply Chain Network with Autonomous Agents.Takaki Matsune, Katsuhide Fujita
2019WWWCan You Give Me a Reason?: Argument-inducing Online Forum by Argument Mining.Makiko Ida, Gaku Morio, Kosui Iwasa, Tomoyuki Tatsumi, Takaki Yasui, Katsuhide Fujita
2018PRICAIPrediction of Nash Bargaining Solution in Negotiation Dialogue.Kosui Iwasa, Katsuhide Fujita
2018PRICAIA Subsequent Speaker Selection Method for Online Discussions Based on the Multi-armed Bandit Algorithm.Mio Kurii, Katsuhide Fujita
2018WWWPredicting Argumentative Influence Probabilities in Large-Scale Online Civic Engagement.Gaku Morio, Katsuhide Fujita
2017AAAIAutomated Negotiating Agents Competition (ANAC).Catholijn M. Jonker, Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Takayuki Ito, Koen V. Hindriks
2017PRIMAAlternating Offers Protocol Considering Fair Privacy for Multilateral Closed Negotiation.Hiroyuki Shinohara, Katsuhide Fujita
2014PRIMACompromising Adjustment Based on Conflict Mode for Multi-times Bilateral Closed Nonlinear Negotiations.Katsuhide Fujita
2011AAAIEfficient Issue-Grouping Approach for Multi-Issues Negotiation between Exaggerator Agents.Katsuhide Fujita, Takayuki Ito, Mark Klein
2009IJCAIBalancing Utility and Deal Probability for Auction-Based Negotiations in Highly Nonlinear Utility Spaces.Ivan Mars-Maestre, Miguel A. Lpez-Carmona, Juan R. Velasco, Takayuki Ito, Mark Klein, Katsuhide Fujita
2009PRIMAUntitled recordBipin Khanal, Hideyuki Sugiura, Takayuki Ito, Masashi Iwasaki, Katsuhide Fujita, Masao Kobayashi
2008PRIMAPreliminary Result on Secure Protocols for Multiple Issue Negotiation Problems.Katsuhide Fujita, Takayuki Ito, Mark Klein