Online edition: ISSN 2432-6380
[TOP] | [2020] | [2021] | [2022] | [2023] | [2024] | [2025] | [2026] | [Japanese] / [English]
AI2026-1
A Negotiation Strategy Based on Dynamic Programming with Learned Response Probabilities for Supply Chain Management
Yuzuru Kitamura, Katsuhide Fujita (TUAT)
pp. 1 - 8
AI2026-2
Deep Reinforcement Learning-Based Agents for Multilateral Negotiation
Kosuke Nakata, Katsuhide Fujita (TUAT)
pp. 9 - 16
AI2026-3
Mediator via Attention Mechanism based Agent Assignment for CtoD-MAT
Rinon Asanuma, Katsuhide Fujita (TUAT)
pp. 17 - 22
AI2026-4
Mediator based on Online Regression Model for Multi-Issue Negotiation Problems
Ryota Genseki, Katsuhide Fujita (TUAT)
pp. 23 - 28
AI2026-5
LLM-Guided Negotiation Strategy for Decentralized Multi-Agent Supply Chain Management
Hajime Endo, Katsuhide Fujita (TUAT)
pp. 29 - 36
AI2026-6
On Probabilistic Instruction Following Problems in LLM-Simulated Surveys
Shiori Nakamura, Masato Kikuchi, Tadachika Ozono (NITech)
pp. 37 - 42
AI2026-7
NGRC-Based Financial Forecasting through Hierarchical Multimodal Integration of Textual and Time-Series Features
Raika Koki, Yasuyuki Tahara, Yuichi Sei (UEC)
pp. 43 - 48
AI2026-8
Yoshinari Motokawa, Toshiharu Sugawara (Waseda University)
pp. 49 - 56
AI2026-9
Policy-Based Reinforcement Learning via a World Model for Multi-Issue Negotiation Strategies
Taisuke Miyashita, Katsuhide Fujita (TUAT)
pp. 57 - 62
AI2026-10
Improving Success Rates via Replanning for MAPF with Asynchronous Actions Requiring Heterogeneous Agent Gathering
Yosuke Fujisawa (Waseda Univ.), Kazuya Nakazawa, Ryo Matsubara (Panasonic Connect), Toshiharu Sugawara (Waseda Univ.)
pp. 63 - 68
AI2026-11
Early Results with Mixture of Experts for Multi-Agent Pathfinding
Fumimaro Suzuki, Keisuke Okumura (AIST)
pp. 69 - 73
AI2026-12
Cost-aware Evacuation Exit Allocation Optimization in Large-Scale Event Venues Based on Crowd Simulation
Rintaro Hisamatsu, Ryo Niwa (Tsukuba Univ./AIST), Masaki Onishi (AIST/Tsukuba Univ.)
pp. 74 - 79
AI2026-13
Highlight Scene Detection in Soccer Broadcast Videos Using Camera and Event Information
Seiya Sato, Ryohei Orihara, Yasuyuki Tahara, Yuichi Sei (UEC)
pp. 80 - 85
AI2026-14
A Labels-at-Server Federated Semi-Supervised Learning Method Using Virtual Adversarial Training
Tojo Takumi, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.)
pp. 86 - 91
AI2026-15
Implementation and Evaluation of a Reward Verification Mechanism for Incentive-Based Federated Learning with an Untrusted Central Server
Toma Numata, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.)
pp. 92 - 97
AI2026-16
(See Japanese page.)
pp. 98 - 101
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.