Shinji Nakadai

Orcid: 0000-0003-1652-838X

According to our database1, Shinji Nakadai authored at least 30 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Hierarchical Approach for Joint Task Allocation and Path Planning.
IEEE Robotics Autom. Lett., November, 2024

Automated Negotiation in Supply Chains A Generalist Environment for RL/MARL Research.
Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024

Learning with Posterior Sampling for Revenue Management under Time-varying Demand.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Preference-based multi-objective multi-agent path finding.
Auton. Agents Multi Agent Syst., 2023

Scalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Reward-Based Negotiating Agent Strategies.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Extended Time Dependent Vehicle Routing Problem for Joint Task Allocation and Path Planning in Shared Space.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Transfer Learning Based Adaptive Automated Negotiating Agent Framework.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

High-level Reward Deep Reinforcement Learning Approach for a Novel Physical-Logical Hybrid Factory Line Robot Vehicle Simulation.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Concurrent Negotiations with Global Utility Functions.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An Autonomous Negotiating Agent Framework with Reinforcement Learning based Strategies and Adaptive Strategy Switching Mechanism.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
NegMAS: A Platform for Automated Negotiations.
Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

Path Negotiation for Self-interested Multirobot Vehicles in Shared Space.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Challenges and Main Results of the Automated Negotiating Agents Competition (ANAC) 2019.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2020

2019
Supply Chain Management World - A Benchmark Environment for Situated Negotiations.
Proceedings of the PRIMA 2019: Principles and Practice of Multi-Agent Systems, 2019

Optimal Value of Information Based Elicitation During Negotiation.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Utility Elicitation During Negotiation with Practical Elicitation Strategies.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

FastVOI: Efficient Utility Elicitation During Negotiations.
Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

From Black-Box to White-Box: Interpretable Learning with Kernel Machines.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

2017
Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2012
Landmark-Join: Hash-Join Based String Similarity Joins with Edit Distance Constraints.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

LoadAtomizer: A locality and I/O load aware task scheduler for MapReduce.
Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012

2011
Optimizing Multiple Machine Learning Jobs on MapReduce.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2008
UTRAN O&M support system with statistical fault identification and customizable rule sets.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008

2007
Server Capacity Planning with Priority Allocation for Service Level Management in Heterogeneous Server Clusters.
Proceedings of the Integrated Network Management, 2007

2004
Rule-Based CIM Query Facility for Dependency Resolution.
Proceedings of the Utility Computing: 15th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, 2004


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