Accepted Papers

Regular Papers

  • Jie Yun and Zehong Cao. Autonomous Driving Agents for Safe Road Junctions Through Deep Reinforcement Learning
  • Curtis Davies and Babak Esfandiari. Event Sourcing in Jason: Event-Driven State Reconstruction for BDI Agents
  • Dechen Jiang, Chixin Xiao and Maoxin He. Multi-Agent-Based Decomposition and Coordination for Solving Non-Convex Constrained Optimization in Cogeneration System with Transmission Loss
  • Shan Cong, Chao Yu, Yaowei Wang, Dongmei Jiang and Xiangyuan Lan. Disentangled Task Representation Learning for Offline Meta Reinforcement Learning
  • Haolin Jin, Zechao Sun and Huaming Chen. RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
  • He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye and Chunyan Miao. HGAttack: Transferable Heterogeneous Graph Adversarial Attack
  • Danish Khan, Xujuan Zhou, Jianming Yong and Xiaohui Tao. User Equipment Privacy and Security Issues in 5G Network
  • Ziying Zhao, Weihua Li, Jing Ma, Jianhua Jiang and Quan Bai. Fair Influence Maximization in Social Networks: A Group-Fairness-aware Multi-Objective Grey Wolf Optimizer
  • Yikun Yang, Fenghui Ren, Minjie Zhang, Jun Yan, Fei Xie and Weiwei Gao. A BDI Agent-Based Asynchronous Scheduling Framework For Cloud Computing
  • Hayato Chujo and Sachiyo Arai. Event-triggered Reinforcement Learning to Obtain Stable Train Operation Strategies
  • Shengjun Ma, Pawan Sudhir Karkal, Jing Ma and Fakhrul Alam. A Comparison of the Performance of ResNet and DenseNet for Obstacle Avoidance and Path Following on a Mobile Robot Using Embedded GPUs
  • Yuta Ohno and Sachiyo Arai. Achieving Preferable Agreement by Utilizing offline Negotiation dialogue on Decision Transformer
  • Justin Teng Hao Loh, Li Rong Wang, Chang Liu, Chanwoo Choi, Siyuan Liu and Xiuyi Fan. Exploring Epistemic and Distributional Uncertainties in Algorithmic Trading Agents
  • Narjes Nourzad, Bhaskar Krishnamachari and Matthew Kahn. Smart Crystal Ball on a Budget: Reinforcement Learning and Prediction for Budget-Friendly Comfort
  • Shuhao Liao, Xuehong Liu, Junyu Zhang, Haopeng Wang, Rongye Shi and Wenjun Wu. Synaptic Weight Optimization for Oscillatory Neural Networks: A Multi-Agent RL Approach
  • Kazuki Takemi, Takuto Sakuma and Shohei Kato. Large size magic square generation using multi-stage evolutionary strategy cascaded by satisfiable individuals for magic sum
  • Takayuki Ito. A Multiple Nash-SA Mediator for Huge Design Utility Spaces in Automated Negotiations
  • Riku Yoshioka, Koichi Moriyama and Yuko Sakurai. Can curiosity enhance the quality of on-demand delivery services?

Short Papers

  • Yikun Yang, Fenghui Ren, Minjie Zhang, Jun Yan, Shujin Jia and Jing Wen. An Adaptive BDI Agent-based System Design for Distributed 3D-Container Loading
  • Zhonghai Ruan and Chao Yu. Causality-Guided Exploration for Multi-Agent Reinforcement Learning
  • Xiawei Wu, Chao Yu and Weiqi Luo. KANStock: A KAN-Integrated Reinforcement Learning Approach for Predictive Portfolio Management with Dynamic Risk Control
  • Alicia Vidler and Toby Walsh. TraderTalk: An LLM Behavioral Agent Based Model, applied to Simulating Human Bilateral Trading Interactions
  • Brighter Agyemang, Fenghui Ren and Jun Yan. Density-Based Hysteretic Learning for Fully Decentralised Environments
  • Junhui Shang, Jun Yan and Fenghui Ren. BDI Agents Based Dynamic Resource Allocation in Emergency Scenarios
  • Kota Minoshima and Sachiyo Arai. Self-refinement of reward function by utilizing failure trajectories
  • Wei Deng, Lan Wang, Xinyu Meng and Guoyin Wang. Heterogeneity and Isomerism based Improved Sugarscape Modeling for Real Estate Market Cycles
  • Shuang Chang. A modularized agent-based framework for causal-based policy-making
  • Hao Meng, Qian Zhao, Xiaosong Wang, Jun Shen, Yunheng Luo and Fei Xie. The Collaborative Intelligence Mathematics Tutoring Agent Platform

Posters

  • Takahiro Uchiya and Ichi Takumi. Improving the Execution Time of a Path Negotiation Method Using a Task-based Utility Function
  • Jinghong Li, Prarinya Siritanawan, Wen Gu and Shinobu Hasegawa. Multi-Agent Approach for Dynamic Research Insight Path Generation
  • Kevin Malysiak, Fenghui Ren and Bo Du. An Agent-Based Decentralised Approach to Disturbances in Rail Systems
  • Qilin Liu and Shun Shiramatsu. LLM-based Automated Facilitator for Building Effective Consensus on Mission and Vision Definition
  • Takayoshi Sakurai, Shun Shiramatsu and Ryosuke Kinoshita. LLM-based Agent for Recommending Information Related to Web Discussions at Appropriate Timing
  • Ayano Ibuka and Kazuto Sasai. Inverse Bayesian Inference for Player Agents in Computer Daihinmin Game
  • Feilai Zhou and Lei Niu. A Framework Design of a Personalized Learning Pathway Recommendation
  • Naohiro Takakuwa and Sachiyo Arai. Action-Integrated QAttn: Introducing Action Values into Value Decomposition for Effective Cooperation among Heterogenous Agents