Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Ide, Kenjiro, Someya, Taiga, Kawaguchi, Kohei, Fujii, Keisuke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpretable Low-Dimensional Modeling of Spatiotemporal Agent States for Decision Making in Football Tactics
by: Ide, Kenjiro, et al.
Published: (2025)
by: Ide, Kenjiro, et al.
Published: (2025)
OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
by: Yeung, Calvin, et al.
Published: (2025)
by: Yeung, Calvin, et al.
Published: (2025)
AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements
by: Yeung, Calvin, et al.
Published: (2024)
by: Yeung, Calvin, et al.
Published: (2024)
Velocity Completion Task and Method for Event-based Player Positional Data in Soccer
by: Umemoto, Rikuhei, et al.
Published: (2025)
by: Umemoto, Rikuhei, et al.
Published: (2025)
Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic
by: Pathare, Deepthi, et al.
Published: (2026)
by: Pathare, Deepthi, et al.
Published: (2026)
Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics
by: Selmonaj, Ardian, et al.
Published: (2025)
by: Selmonaj, Ardian, et al.
Published: (2025)
Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward
by: Pathare, Deepthi, et al.
Published: (2024)
by: Pathare, Deepthi, et al.
Published: (2024)
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
by: Hu, Tianmeng, et al.
Published: (2026)
by: Hu, Tianmeng, et al.
Published: (2026)
GenTac: Generative Modeling and Forecasting of Soccer Tactics
by: Rao, Jiayuan, et al.
Published: (2026)
by: Rao, Jiayuan, et al.
Published: (2026)
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
by: Bi, Xiaojun, et al.
Published: (2024)
by: Bi, Xiaojun, et al.
Published: (2024)
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
by: Tirumala, Dhruva, et al.
Published: (2024)
by: Tirumala, Dhruva, et al.
Published: (2024)
FOOTPASS: A Multi-Modal Multi-Agent Tactical Context Dataset for Play-by-Play Action Spotting in Soccer Broadcast Videos
by: Ochin, Jeremie, et al.
Published: (2025)
by: Ochin, Jeremie, et al.
Published: (2025)
Right Move, Right Time: Multi-Sport Space Evaluation Platform for Ultimate Frisbee, Basketball, and Soccer
by: Iwashita, Shunsuke, et al.
Published: (2026)
by: Iwashita, Shunsuke, et al.
Published: (2026)
Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning
by: Selmonaj, Ardian, et al.
Published: (2025)
by: Selmonaj, Ardian, et al.
Published: (2025)
Reinforcement Learning-Augmented LLM Agents for Collaborative Decision Making and Performance Optimization
by: Qiu, Dong, et al.
Published: (2025)
by: Qiu, Dong, et al.
Published: (2025)
Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems
by: Ide, Shun, et al.
Published: (2024)
by: Ide, Shun, et al.
Published: (2024)
SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing
by: Meng, Zi, et al.
Published: (2026)
by: Meng, Zi, et al.
Published: (2026)
Agent-as-Tool: A Study on the Hierarchical Decision Making with Reinforcement Learning
by: Zhang, Yanfei
Published: (2025)
by: Zhang, Yanfei
Published: (2025)
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
by: Haarnoja, Tuomas, et al.
Published: (2023)
by: Haarnoja, Tuomas, et al.
Published: (2023)
Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes
by: Levin, Joshua, et al.
Published: (2024)
by: Levin, Joshua, et al.
Published: (2024)
Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making
by: Ma, Heyang, et al.
Published: (2025)
by: Ma, Heyang, et al.
Published: (2025)
Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots
by: Zhang, Yulai, et al.
Published: (2026)
by: Zhang, Yulai, et al.
Published: (2026)
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
by: Zhou, Chengmin, et al.
Published: (2025)
by: Zhou, Chengmin, et al.
Published: (2025)
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning
by: Xu, Kunpeng, et al.
Published: (2023)
by: Xu, Kunpeng, et al.
Published: (2023)
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
by: Bani-Harouni, David, et al.
Published: (2025)
by: Bani-Harouni, David, et al.
Published: (2025)
SAJA: A State-Action Joint Attack Framework on Multi-Agent Deep Reinforcement Learning
by: Guo, Weiqi, et al.
Published: (2025)
by: Guo, Weiqi, et al.
Published: (2025)
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
by: Hu, Zican, et al.
Published: (2025)
by: Hu, Zican, et al.
Published: (2025)
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)
by: Wan, Hanxi, et al.
Published: (2024)
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2025)
by: Xi, Zhiheng, et al.
Published: (2025)
On Stateful Value Factorization in Multi-Agent Reinforcement Learning
by: Marchesini, Enrico, et al.
Published: (2024)
by: Marchesini, Enrico, et al.
Published: (2024)
Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander
by: Wang, Li, et al.
Published: (2025)
by: Wang, Li, et al.
Published: (2025)
Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment
by: Chowdhury, Jayabrata, et al.
Published: (2024)
by: Chowdhury, Jayabrata, et al.
Published: (2024)
A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis
by: Sharma, Dinesh, et al.
Published: (2023)
by: Sharma, Dinesh, et al.
Published: (2023)
Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning
by: Poupart, Yoann, et al.
Published: (2025)
by: Poupart, Yoann, et al.
Published: (2025)
Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External Agents
by: Singh, Sandesh Kumar
Published: (2025)
by: Singh, Sandesh Kumar
Published: (2025)
Multi-Agent Reinforcement Learning for Market Making: Competition without Collusion
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
by: Mahajan, Anubha, et al.
Published: (2024)
by: Mahajan, Anubha, et al.
Published: (2024)
MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning
by: Liu, Jie, et al.
Published: (2023)
by: Liu, Jie, et al.
Published: (2023)
Multi-Agent Intelligence for Multidisciplinary Decision-Making in Gastrointestinal Oncology
by: Zhang, Rongzhao, et al.
Published: (2025)
by: Zhang, Rongzhao, et al.
Published: (2025)
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
by: Triantafyllou, Stelios, et al.
Published: (2024)
by: Triantafyllou, Stelios, et al.
Published: (2024)
Similar Items
-
Interpretable Low-Dimensional Modeling of Spatiotemporal Agent States for Decision Making in Football Tactics
by: Ide, Kenjiro, et al.
Published: (2025) -
OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
by: Yeung, Calvin, et al.
Published: (2025) -
AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements
by: Yeung, Calvin, et al.
Published: (2024) -
Velocity Completion Task and Method for Event-based Player Positional Data in Soccer
by: Umemoto, Rikuhei, et al.
Published: (2025) -
Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic
by: Pathare, Deepthi, et al.
Published: (2026)